├── Django.xlsx ├── Awesome_Python_Learning.png ├── LICENSE ├── .gitignore └── README.md /Django.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/skupriienko/Awesome-Python-Learning/HEAD/Django.xlsx -------------------------------------------------------------------------------- /Awesome_Python_Learning.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/skupriienko/Awesome-Python-Learning/HEAD/Awesome_Python_Learning.png -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 skupriienko 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Installer logs 2 | pip-log.txt 3 | 4 | # Unit test / coverage reports 5 | .coverage 6 | .tox 7 | nosetests.xml 8 | 9 | # Translations 10 | *.mo 11 | 12 | # Mr Developer 13 | .mr.developer.cfg 14 | .project 15 | .pydevproject 16 | 17 | # SQLite databases 18 | *.sqlite 19 | 20 | # Virtual environment 21 | venv 22 | 23 | # Environment files 24 | .env 25 | .env-mysql 26 | 27 | # Byte-compiled / optimized / DLL files 28 | __pycache__/ 29 | *.py[cod] 30 | *$py.class 31 | *.pyc 32 | .cache/ 33 | 34 | 35 | # C extensions 36 | *.so 37 | 38 | # Distribution / packaging 39 | .Python 40 | build/ 41 | develop-eggs/ 42 | dist/ 43 | downloads/ 44 | eggs/ 45 | .eggs/ 46 | lib/ 47 | lib64/ 48 | parts/ 49 | sdist/ 50 | var/ 51 | wheels/ 52 | share/python-wheels/ 53 | *.egg-info/ 54 | .installed.cfg 55 | *.egg 56 | MANIFEST 57 | 58 | # Packages 59 | dist 60 | build 61 | eggs 62 | parts 63 | bin 64 | var 65 | sdist 66 | develop-eggs 67 | lib 68 | lib64 69 | __pycache__ 70 | 71 | # PyInstaller 72 | # Usually these files are written by a python script from a template 73 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 74 | *.manifest 75 | *.spec 76 | 77 | # Installer logs 78 | pip-log.txt 79 | pip-delete-this-directory.txt 80 | 81 | # Unit test / coverage reports 82 | htmlcov/ 83 | .tox/ 84 | .nox/ 85 | .coverage 86 | .coverage.* 87 | .cache 88 | nosetests.xml 89 | coverage.xml 90 | *.cover 91 | *.py,cover 92 | .hypothesis/ 93 | .pytest_cache/ 94 | cover/ 95 | 96 | # Translations 97 | *.mo 98 | *.pot 99 | 100 | # Django stuff: 101 | *.log 102 | local_settings.py 103 | db.sqlite3 104 | db.sqlite3-journal 105 | 106 | 107 | # Flask stuff: 108 | instance/ 109 | .webassets-cache 110 | 111 | # Scrapy stuff: 112 | .scrapy 113 | 114 | # Sphinx documentation 115 | docs/_build/ 116 | 117 | # PyBuilder 118 | .pybuilder/ 119 | target/ 120 | 121 | # Jupyter Notebook 122 | .ipynb_checkpoints 123 | 124 | # IPython 125 | profile_default/ 126 | ipython_config.py 127 | 128 | # pyenv 129 | # For a library or package, you might want to ignore these files since the code is 130 | # intended to run in multiple environments; otherwise, check them in: 131 | # .python-version 132 | 133 | # pipenv 134 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 135 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 136 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 137 | # install all needed dependencies. 138 | #Pipfile.lock 139 | 140 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 141 | __pypackages__/ 142 | 143 | # Celery stuff 144 | celerybeat-schedule 145 | celerybeat.pid 146 | 147 | # SageMath parsed files 148 | *.sage.py 149 | 150 | # Environments 151 | .env 152 | .venv 153 | env/ 154 | venv/ 155 | ENV/ 156 | env.bak/ 157 | venv.bak/ 158 | myvenv 159 | 160 | 161 | # Spyder project settings 162 | .spyderproject 163 | .spyproject 164 | 165 | # Rope project settings 166 | .ropeproject 167 | 168 | # mkdocs documentation 169 | /site 170 | 171 | # mypy 172 | .mypy_cache/ 173 | .dmypy.json 174 | dmypy.json 175 | 176 | # Pyre type checker 177 | .pyre/ 178 | 179 | # pytype static type analyzer 180 | .pytype/ 181 | 182 | # Cython debug symbols 183 | cython_debug/ 184 | 185 | # Editors 186 | .vscode/ 187 | .idea/ 188 | .idea/* 189 | 190 | # Vagrant 191 | .vagrant/ 192 | 193 | # Mac/OSX 194 | .DS_Store 195 | 196 | # Windows 197 | Thumbs.db 198 | 199 | # Elastic Beanstalk Files 200 | .elasticbeanstalk/* 201 | !.elasticbeanstalk/*.cfg.yml 202 | !.elasticbeanstalk/*.global.yml 203 | 204 | 205 | # my_ignores 206 | node_modules 207 | tdd 208 | .history 209 | *.code-workspace 210 | *.gz 211 | *.zip 212 | *.rar 213 | .idea/ 214 | 215 | secret_key.txt 216 | 217 | *.sqlite3 218 | .python-version 219 | staticfiles/ 220 | uploads/ 221 | local_settings.py 222 | .anvil/* 223 | .Python 224 | /bin 225 | /lib 226 | /src 227 | /include 228 | .coverage 229 | node_modules/ 230 | 231 | /static 232 | static/media 233 | static/build/ 234 | static/local/ 235 | static/rev-manifest.json 236 | temp/ 237 | tmp/ 238 | 239 | flaskos/ -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Awesome-Python-Learning v.1.2.0 2 | ![Awesome Python Learning](Awesome_Python_Learning.png) 3 | 4 | ## Full list of links 5 | See full list with categories in [Awesome_Python_Learning.csv](Awesome_Python_Learning.csv) - 1520 links! 6 | 7 | Python Learning Library 8 | 9 | ## **Contents** 10 | 11 | Jobs 12 | Programming (learning) 13 | Roadmaps 14 | MOOC and courses 15 | Video 16 | Textbooks 17 | Books 18 | Games for Education 19 | Online education (others) 20 | IT-events 21 | Training 22 | Project examples for Junior 23 | Puzzles 24 | Developer's Tools 25 | Articles about Software Engineering 26 | 27 | 28 | ------ 29 | 30 | ## **Jobs** 31 | 32 | - [[15 App Ideas to Build and Level Up your Coding Skills]](https://blog.bitsrc.io/15-app-ideas-to-build-and-level-up-your-coding-skills-28612c72a3b1) 33 | - [[15 вопросов по Python: как джуниору пройти собеседование]](https://proglib.io/p/python-interview/) 34 | - [[15 задач на собеседовании для программиста]](https://proglib.io/p/15-questions-for-programmers/) 35 | - [[16-річний програміст із Черкащини --- про те, як 11-класником влаштувався на роботу зі зарплатнею майже \$1000 \| DOU]](https://dou.ua/lenta/interviews/first-job-in-sixteen/?from=comment-digest_bc&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments#1829186) 36 | 37 | - [[5 советов по созданию вашего резюме]](https://proglib.io/p/best-format-on-cv/) 38 | 39 | - [[50+ Data Structure and Algorithms Problems from Coding Interviews - DEV Community 👩‍💻👨‍💻]](https://dev.to/javinpaul/50-data-structure-and-algorithms-problems-from-coding-interviews-4lh2) 40 | 41 | - [[53 Python Interview Questions and Answers - Towards Data Science]](https://towardsdatascience.com/53-python-interview-questions-and-answers-91fa311eec3f) 42 | 43 | - [[hh.ua]](https://kiev.hh.ua/applicant/resumes?from=header_new) 44 | 45 | - [[How to write a killer Software Engineering résumé - freeCodeCamp.org - Medium]](https://medium.com/free-code-camp/writing-a-killer-software-engineering-resume-b11c91ef699d) 46 | 47 | - [[Job search, venture investing & new tech products \| AngelList]](https://angel.co/) 48 | 49 | - [[Python програмісти - Джин]](https://djinni.co/developers/?sortby=rating&title=Python&utm_medium=email&utm_source=transactional&utm_campaign=email%2Fcandidate_weeklystats.html) 50 | 51 | - [[Top 100 Data Structure and Algorithm Interview Questions for Java Programmers \| Java67]](https://www.java67.com/2018/06/data-structure-and-algorithm-interview-questions-programmers.html) 52 | 53 | - [[Top 75 Programming Interview Questions Answers to Crack Any Coding Job Interview \| Java67]](https://www.java67.com/2018/05/top-75-programming-interview-questions-answers.html) 54 | 55 | - [[What I want (and don't want) to see on your software engineering resume]](https://medium.com/job-advice-for-software-engineers/what-i-want-and-dont-want-to-see-on-your-software-engineering-resume-cbc07913f7f6) 56 | 57 | - [[Вакансії \| DOU]](https://jobs.dou.ua/) 58 | 59 | - [[Вастрик.Инсайд \#39: Войти в айти. Нужен ли диплом? Как учиться новому? Как оставаться востребованным? Есть ли жизнь после 30?]](https://vas3k.ru/inside/39/) 60 | 61 | - [[Вастрик.Инсайд \#46: Краткий гайд о том, как нанимать нормальных людей]](https://vas3k.ru/inside/46/) 62 | 63 | - [[Де, як і скільки: аналізуємо найм джуніорів у 2019 році \| DOU]](https://dou.ua/lenta/articles/juniors-2019/?from=nl&utm_source=20200428&utm_medium=email&utm_campaign=CM) 64 | 65 | - [[Как должно выглядеть резюме ИТ-специалиста: типичные ошибки глазами HR]](https://proglib.io/p/it-cv/) 66 | 67 | - [[Как успешно пройти любое техническое собеседование]](https://proglib.io/p/programming-interview-success/) 68 | 69 | - [[Работа]](https://rabota.ua/) 70 | 71 | ## **Programming (learning)** 72 | 73 | ### **Roadmaps** 74 | 75 | - [[My Data Science & Machine Learning, Beginner's Learning Path \| LinkedIn]](https://www.linkedin.com/pulse/my-data-science-machine-learning-beginners-path-vin-vashishta/?trackingId=J16vYmqLQEZ5wr4oElpnNA%3D%3D) 76 | 77 | - [[AI & ML дайджест \#17: курсы по ML & DL, обзор популярных GAN архитектур, AI бот для ребенка \| DOU]](https://dou.ua/lenta/digests/ai-ml-digest-17/?from=nl&utm_source=20200414&utm_medium=email&utm_campaign=CM) 78 | 79 | - [[Data Science Career Guide -- Dataquest]](https://www.dataquest.io/blog/data-science-career-guide/?utm_source=Iterable&utm_medium=email&utm_campaign=onboarding_7) 80 | 81 | - [[Data Science Career Tips Archives -- Dataquest]](https://www.dataquest.io/blog/topics/data-science-career-tips/?utm_source=Iterable&utm_medium=email&utm_campaign=onboarding_7) 82 | 83 | - [[Full-Stack JavaScript in Six Weeks: A Curriculum Guide]](https://medium.com/ladies-storm-hackathons/follow-this-curriculum-to-learn-full-stack-javascript-in-six-weeks-c0f100426902) 84 | 85 | - [[Grow]](https://grow.telescopeai.com/pdp/) 86 | 87 | - [[Grow]](https://grow.telescopeai.com/templates) 88 | 89 | - [[How to become a data scientist? - Towards Data Science]](https://towardsdatascience.com/how-to-become-a-data-scientist-3f8d6e75482f) 90 | 91 | - [[How we built our first full-stack JavaScript web app in three weeks]](https://medium.com/ladies-storm-hackathons/how-we-built-our-first-full-stack-javascript-web-app-in-three-weeks-8a4668dbd67c) 92 | 93 | - [[If I had to start learning Data Science again, how would I do it?]](https://towardsdatascience.com/if-i-had-to-start-learning-data-science-again-how-would-i-do-it-78a72b80fd93) 94 | 95 | - [[omreps/programmer-competency-matrix: ENG -\> RU: Матрица компетентности программиста, мой перевод]](https://github.com/omreps/programmer-competency-matrix) 96 | 97 | - [[Pandas Урок --- чтение файлов csv, создание dataframe и фильтрация данных]](https://pythonru.com/uroki/osnovy-pandas-1-chtenie-fajlov-dataframe-otbor-dannyh) 98 | 99 | - [[Programmer Competency Matrix -- Sijin Joseph]](http://sijinjoseph.com/programmer-competency-matrix/) 100 | 101 | - [[programmer-competency-matrix/partII.md at master · omreps/programmer-competency-matrix]](https://github.com/omreps/programmer-competency-matrix/blob/master/partII.md) 102 | 103 | - [[Python Developers Survey 2019 Results \| JetBrains: Developer Tools for Professionals and Teams]](https://www.jetbrains.com/lp/python-developers-survey-2019/?utm_source=Iterable&utm_medium=email&utm_campaign=newsletter_82) 104 | 105 | - [[Quiz: Data Engineer, Data Analyst, Data Scientist --- Which Role Fits You?]](https://www.dataquest.io/blog/data-analyst-data-scientist-data-engineer/) 106 | 107 | - [[Resources I Wish I Knew When I Started Out With Data Science]](https://towardsdatascience.com/resources-i-wish-i-knew-when-i-started-out-with-data-science-9a8889654c36) 108 | 109 | - [[Roadmap • mlcourse.ai]](https://mlcourse.ai/roadmap) 110 | 111 | - [[Top 10 In-Demand programming languages to learn in 2020]](https://towardsdatascience.com/top-10-in-demand-programming-languages-to-learn-in-2020-4462eb7d8d3e) 112 | 113 | - [[Warning: Your programming career - SoloLearn - Medium]](https://medium.com/sololearn/warning-your-programming-career-b9579b3a878b) 114 | 115 | - [[Дайджест материалов по трудоустройству в сфере IT]](https://proglib.io/p/it-job-digest/) 116 | 117 | - [[Детальный план самообразования в Computer Science за 1.5 года]](https://proglib.io/p/cs-learning/) 118 | 119 | - [[Мапа розвитку в Data Science, або Як стати дослідником даних \| DOU]](https://dou.ua/lenta/articles/how-i-became-data-analyst/?from=comment-digest_post&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments) 120 | 121 | - [[Программирование на Python: от новичка до профессионала]](https://proglib.io/p/python-from-newbie-to-professional/) 122 | 123 | - [[Путь Python Junior-а в 2017]](https://proglib.io/p/python-junior-2017/) 124 | 125 | - [[Развивать себя]](https://grow.telescopeai.com/landing/youRU) 126 | 127 | - [[Советы сеньоров: как прокачать знания junior Front-end/JavaScript \| DOU]](https://dou.ua/lenta/articles/senior-frontend-tips/) 128 | 129 | - [[Хочу стать веб-разработчиком: подробный план по изучению JavaScript]](https://tproger.ru/curriculum/javascript-curriculum/) 130 | 131 | ### **MOOC and courses** 132 | 133 | - [[\[UNИX\]\[Python-Dev\] Лекция 1. Разработка ПО. Индивидуальное использование GIT - YouTube]](https://www.youtube.com/watch?v=wOBSo09owqs&list=PLPErILqzuTQqXEIjjN6gwFzV1yRuwReR0) 134 | 135 | - [[11.1 - Regular Expressions - Мичиганский университет \| Coursera]](https://www.coursera.org/learn/python-network-data/lecture/bMyWb/11-1-regular-expressions) 136 | 137 | - [[200+ SQL Interview Questions and Answers for Developers \| Udemy]](https://www.udemy.com/course/sql-interview-questions/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-vfc1VkvwmmFDsRFTJ0oVtw) 138 | 139 | - [[6.006: Introduction to Algorithms - Massachusetts Institute of Technology]](https://courses.csail.mit.edu/6.006/fall11/notes.shtml) 140 | 141 | - [[Advanced Operating Systems]](https://www.udacity.com/course/advanced-operating-systems--ud189) 142 | 143 | - [[AI For Everyone --- главная \| Coursera]](https://www.coursera.org/learn/ai-for-everyone/home/welcome) 144 | 145 | - [[Algorithmic Toolbox \| Coursera]](https://www.coursera.org/learn/algorithmic-toolbox?recoOrder=5&utm_medium=email&utm_source=recommendations&utm_campaign=recommendationsEmail~recs_email~2020-03-30) 146 | 147 | - [[Amazon Web Services Sign-In]](https://signin.aws.amazon.com/signin?redirect_uri=https%3A%2F%2Fus-west-2.console.aws.amazon.com%2Fcloud9%2Fide%2Fca383e00d67748bc81e6a66a723090d7%3Fstate%3DhashArgs%2523%26isauthcode%3Dtrue&client_id=arn%3Aaws%3Aiam%3A%3A015428540659%3Auser%2Fcloud9&forceMobileApp=0&code_challenge=apBGk2U19lHSfFKRF4VO4W6Hbadtr4AQfklozCXltAY&code_challenge_method=SHA-256) 148 | 149 | - [[An Introduction to Interactive Programming in Python (Part 1) - Rice University \| Coursera]](https://www.coursera.org/learn/interactive-python-1/home/info) 150 | 151 | - [[An Introduction to Interactive Programming in Python (Part 1) --- главная \| Coursera]](https://www.coursera.org/learn/interactive-python-1/home/welcome) 152 | 153 | - [[AP®︎ Computer Science Principles (AP®︎ CSP) \| Khan Academy]](https://www.khanacademy.org/computing/ap-computer-science-principles) 154 | 155 | - [[App Maker Academy \| LEARN]](https://learn.by/courses/course-v1:EPAM+AMA+ext1/about) 156 | 157 | - [[Applied Machine Learning in Python --- главная \| Coursera]](https://www.coursera.org/learn/python-machine-learning/home/welcome) 158 | 159 | - [[Applied Machine Learning in Python \| Coursera]](https://www.coursera.org/learn/python-machine-learning?specialization=data-science-python) 160 | 161 | - [[Applied Plotting, Charting & Data Representation in Python \| Coursera]](https://www.coursera.org/learn/python-plotting) 162 | 163 | - [[Applied Plotting, Charting & Data Representation in Python \| Coursera]](https://www.coursera.org/learn/python-plotting?specialization=data-science-python) 164 | 165 | - [[Applied Social Network Analysis in Python \| Coursera]](https://www.coursera.org/learn/python-social-network-analysis) 166 | 167 | - [[Applied Text Mining in Python \| Coursera]](https://www.coursera.org/learn/python-text-mining) 168 | 169 | - [[Applied Text Mining in Python \| Coursera]](https://www.coursera.org/learn/python-text-mining?specialization=data-science-python) 170 | 171 | - [[Artificial Intelligence]](https://www.udacity.com/course/artificial-intelligence--ud954) 172 | 173 | - [[Artificial Intelligence for Robotics \| Udacity]](https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373) 174 | 175 | - [[Basics of Software Architecture & Design Patterns in Java \| Udemy]](https://www.udemy.com/course/basics-of-software-architecture-design-in-java/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-KOKGxDo89w69mkjZQRXoiw) 176 | 177 | - [[Become a Python Developer]](https://www.linkedin.com/learning/paths/become-a-python-developer) 178 | 179 | - [[Become a Solution Architect: Architecture Course \| Udemy]](https://www.udemy.com/course/how-to-become-an-outstanding-solution-architect/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-V.PfRaGSBVyIDs0jrROOXQ) 180 | 181 | - [[Big Data Analytics in Healthcare]](https://www.udacity.com/course/big-data-analytics-in-healthcare--ud758) 182 | 183 | - [[Bootcamp - Scrimba Tutorial]](https://scrimba.com/p/pG66Msa/c66k2RCr) 184 | 185 | - [[Bootstrap 4 Tutorial - Learn Bootstrap For Free \| Scrimba]](https://scrimba.com/g/gbootstrap4) 186 | 187 | - [[Break Away: Programming And Coding Interviews \| Udemy]](https://www.udemy.com/course/break-away-coding-interviews-1/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-xK68R9T0iKj38_3pS1WcYg) 188 | 189 | - [[Caesar - CS50x]](https://cs50.harvard.edu/x/2020/psets/2/caesar/) 190 | 191 | - [[Chat with React - Scrimba Tutorial]](https://scrimba.com/p/pbNpTv/c9bWPAp) 192 | 193 | - [[Clean Code \| LEARN]](https://learn.by/courses/course-v1:EPAM+CC+ext1/about) 194 | 195 | - [[Client-Server Communication]](https://www.udacity.com/course/client-server-communication--ud897) 196 | 197 | - [[Code Basics: основы программирования]](https://ru.code-basics.com/languages/javascript/modules/basics/lessons/comments) 198 | 199 | - [[Codecademy]](https://www.codecademy.com/catalog/subject/all) 200 | 201 | - [[CodeSkulptor]](http://www.codeskulptor.org/) 202 | 203 | - [[Coding for Kids \| Tynker]](https://www.tynker.com/lesson/host) 204 | 205 | - [[Coding Interview Bootcamp Algorithms, Data Structures Course \| Udemy]](https://www.udemy.com/course/coding-interview-bootcamp-algorithms-and-data-structure/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-TlXTfAkPvfYsaAfzlBDfzw) 206 | 207 | - [[Command Line Essentials: Git Bash for Windows \| Udemy]](https://www.udemy.com/course/git-bash/learn/lecture/2723932#overview) 208 | 209 | - [[Computability, Complexity & Algorithms]](https://www.udacity.com/course/computability-complexity-algorithms--ud061) 210 | 211 | - [[Computability, Complexity & Algorithms - Udacity]](https://classroom.udacity.com/courses/ud061) 212 | 213 | - [[Computer programming \| Computing \| Khan Academy]](https://www.khanacademy.org/computing/computer-programming) 214 | 215 | - [[Computer science \| Computing \| Khan Academy]](https://www.khanacademy.org/computing/computer-science) 216 | 217 | - [[Continuous Integration and Continuous Delivery using Interactive Browser-Based Labs \| Katacoda]](https://www.katacoda.com/courses/cicd) 218 | 219 | - [[Continuous Integration with Jenkins \| LEARN]](https://learn.by/courses/course-v1:EPAM+CIJ+ext1/about) 220 | 221 | - [[Convolutional Neural Networks \| Coursera]](https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning) 222 | 223 | - [[Course \| 15.071x \| edX]](https://courses.edx.org/courses/course-v1:MITx+15.071x+1T2020/course/) 224 | 225 | - [[Course \| CS1301xII \| edX]](https://courses.edx.org/courses/course-v1:GTx+CS1301xII+3T2019/course/) 226 | 227 | - [[Course Introduction: Neural Networks in JavaScript - Scrimba Tutorial]](https://scrimba.com/p/pVZJQfg/cv4rvCR) 228 | 229 | - [[Course overview]](https://www.robomindacademy.com/navigator/courses) 230 | 231 | - [[Course Overview - Scrimba Tutorial]](https://scrimba.com/p/pQxesM/ce4baHb) 232 | 233 | - [[Courses \| edX]](https://www.edx.org/course/introduction-python-data-science-2) 234 | 235 | - [[Courses \| LEARN]](https://learn.by/courses) 236 | 237 | - [[Crash Course on Python --- главная \| Coursera]](https://www.coursera.org/learn/python-crash-course/home/info) 238 | 239 | - [[CS 436: Distributed Computer Systems - Lecture 1 - YouTube]](https://www.youtube.com/watch?v=w8KFPWkK0bI&list=PLawkBQ15NDEkDJ5IyLIJUTZ1rRM9YQq6N) 240 | 241 | - [[CSS - Scrimba Tutorial]](https://scrimba.com/p/pWvwCg/c3vBJu2) 242 | 243 | - [[Dashboard \| Khan Academy]](https://www.khanacademy.org/profile/kaid_319771232046788166624019/courses) 244 | 245 | - [[Data Analysis and Visualization]](https://www.udacity.com/course/data-analysis-and-visualization--ud404) 246 | 247 | - [[Data Analysis Learning Path \| Springboard]](https://www.springboard.com/learning-paths/data-analysis/learn/?referral=https://www.springboard.com/resources/learning-paths/data-analysis/#351-introduction-to-algorithms) 248 | 249 | - [[Data Science A-Z™: Real-Life Data Science Exercises Included \| Udemy]](https://www.udemy.com/course/datascience/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-ehAZ1CgIaMuZej9hJQmD5A) 250 | 251 | - [[Data Science Dream Job - YouTube]](https://www.youtube.com/channel/UCr6_XCxMLXWGguWZi_93n7w) 252 | 253 | - [[Data Science Interview Prep]](https://www.udacity.com/course/data-science-interview-prep--ud944) 254 | 255 | - [[Data Science Office Hours - YouTube]](https://www.youtube.com/channel/UC5c7r0SlnNmPfqxEyni71FA) 256 | 257 | - [[Data Science with R \| Pluralsight]](https://www.pluralsight.com/courses/r-data-science?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2W90Cx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2) 258 | 259 | - [[Data Scientist Path: Interactive Python, SQL \| Dataquest]](https://app.dataquest.io/path/data-scientist) 260 | 261 | - [[Data Structure - Part I \| Udemy]](https://www.udemy.com/course/data-structures-part-1-lognacademy/learn/lecture/2587894#overview) 262 | 263 | - [[Data Structures and Performance \| Coursera]](https://www.coursera.org/learn/data-structures-optimizing-performance?recoOrder=9&utm_medium=email&utm_source=recommendations&utm_campaign=recommendationsEmail~recs_email~2020-03-30) 264 | 265 | - [[Data Structures Fundamentals]](https://courses.edx.org/courses/course-v1:UCSanDiegoX+ALGS201x+1T2019/course/) 266 | 267 | - [[Data Visualization in Python --- DataCamp]](https://www.datacamp.com/resources/webinars/data-visualization-in-python) 268 | 269 | - [[Data Wrangling with MongoDB]](https://www.udacity.com/course/data-wrangling-with-mongodb--ud032) 270 | 271 | - [[Database Systems Concepts & Design]](https://www.udacity.com/course/database-systems-concepts-design--ud150) 272 | 273 | - [[DataCamp]](https://learn.datacamp.com/) 274 | 275 | - [[Datatypes & Typecasting - Scrimba Tutorial]](https://scrimba.com/p/pNpZMAB/cgqp9rSz) 276 | 277 | - [[DBA1 : Компания Postgres Professional]](https://postgrespro.ru/education/courses/DBA1) 278 | 279 | - [[DBA2 : Компания Postgres Professional]](https://postgrespro.ru/education/courses/DBA2) 280 | 281 | - [[Deep learning на пальцах!]](https://dlcourse.ai/) 282 | 283 | - [[Design of Computer Programs]](https://www.udacity.com/course/design-of-computer-programs--cs212) 284 | 285 | - [[Design of Computer Programs - Udacity]](https://classroom.udacity.com/courses/cs212) 286 | 287 | - [[Designing RESTful APIs]](https://www.udacity.com/course/designing-restful-apis--ud388) 288 | 289 | - [[Developing AI Applications on Azure --- главная \| Coursera]](https://www.coursera.org/learn/developing-ai-applications-azure/home/welcome) 290 | 291 | - [[Differential Equations in Action]](https://www.udacity.com/course/differential-equations-in-action--cs222) 292 | 293 | - [[Divide and Conquer, Sorting and Searching, and Randomized Algorithms \| Coursera]](https://www.coursera.org/learn/algorithms-divide-conquer) 294 | 295 | - [[DJANGO CHANNELS 2 Tutorial (V2) - Real Time - WebSockets - Async - YouTube]](https://www.youtube.com/watch?v=RVH05S1qab8) 296 | 297 | - [[Docker Swarm Mode Playground \| Katacoda]](https://www.katacoda.com/courses/docker-orchestration/playground) 298 | 299 | - [[DZone: Programming & DevOps news, tutorials & tools]](https://dzone.com/refcardz?filter=popular) 300 | 301 | - [[Easy to Advanced Data Structures \| Udemy]](https://www.udemy.com/course/introduction-to-data-structures/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-P91lzG_giImwniobx2X3Jg) 302 | 303 | - [[Easy to Advanced Data Structures \| Udemy]](https://www.udemy.com/course/introduction-to-data-structures/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-ZbkYrZOIS7t4Ikpe7FLW_A) 304 | 305 | - [[Exercise files]](https://www.linkedin.com/learning/python-essential-training-2/exercise-files?pathUrn=urn%3Ali%3AlyndaLearningPath%3A56db2f4b3dd5596be4e4989f) 306 | 307 | - [[Exercises on the Python Track \| Exercism]](https://exercism.io/tracks/python/exercises) 308 | 309 | - [[Explore - LeetCode]](https://leetcode.com/explore/) 310 | 311 | - [[Free Clean Architecture Course: Patterns, Practices, and Principles for Beginners \| Pluralsight]](https://www.pluralsight.com/courses/clean-architecture-patterns-practices-principles?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2TWVKx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2) 312 | 313 | - [[Free Software Architect Course: Developer to Architect \| Pluralsight]](https://www.pluralsight.com/courses/developer-to-architect?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2TWVrx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2) 314 | 315 | - [[Free SOLID Course: Principles of Object Oriented Design \| Pluralsight]](https://www.pluralsight.com/courses/principles-oo-design?clickid=2FASLxUR5xyOUgVwUx0Mo3EWUki2W4xqx3OTW80&irgwc=1&mpid=1193463&utm_source=impactradius&utm_medium=digital_affiliate&utm_campaign=1193463&aid=7010a000001xAKZAA2) 316 | 317 | - [[Front Matter --- Alembic 1.4.2 documentation]](https://alembic.sqlalchemy.org/en/latest/front.html#installation) 318 | 319 | - [[Front-End Web UI Frameworks and Tools: Bootstrap 4 --- главная \| Coursera]](https://www.coursera.org/learn/bootstrap-4/home/welcome?utm_campaign=mgT_0F1wEem5a3PcVrpGrg&utm_medium=email&utm_source=learner) 320 | 321 | - [[Full Stack Foundations]](https://www.udacity.com/course/full-stack-foundations--ud088) 322 | 323 | - [[Git Playground \| Katacoda]](https://www.katacoda.com/courses/git/playground) 324 | 325 | - [[Git Started with GitHub \| Udemy]](https://www.udemy.com/course/git-started-with-github/learn/lecture/2918876#overview) 326 | 327 | - [[Graph Search, Shortest Paths, and Data Structures --- главная \| Coursera]](https://www.coursera.org/learn/algorithms-graphs-data-structures/home/welcome) 328 | 329 | - [[Graph Search, Shortest Paths, and Data Structures \| Coursera]](https://www.coursera.org/learn/algorithms-graphs-data-structures) 330 | 331 | - [[Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming \| Coursera]](https://www.coursera.org/learn/algorithms-greedy) 332 | 333 | - [[Grok Learning]](https://groklearning.com/launch/#language=javascript&language=python&language=sql&level=beginners&level=intermediate&level=advanced) 334 | 335 | - [[Grokking the System Design Interview - Learn Interactively]](https://www.educative.io/courses/grokking-the-system-design-interview?affiliate_id=5073518643380224) 336 | 337 | - [[GT - Refresher - Advanced OS]](https://www.udacity.com/course/gt-refresher-advanced-os--ud098) 338 | 339 | - [[Harvard CS109 Data Science Course, Resources Free and Online]](https://www.kdnuggets.com/2013/11/harvard-cs109-data-science-course-resources-free-online.html) 340 | 341 | - [[High Performance Computer Architecture]](https://www.udacity.com/course/high-performance-computer-architecture--ud007) 342 | 343 | - [[High Performance Computing]](https://www.udacity.com/course/high-performance-computing--ud281) 344 | 345 | - [[HTTP & Web Servers]](https://www.udacity.com/course/http-web-servers--ud303) 346 | 347 | - [[HTTP & Web Servers - Udacity]](https://classroom.udacity.com/courses/ud303) 348 | 349 | - [[https://scratch.mit.edu/projects/374672500/editor]](https://scratch.mit.edu/projects/374672500/editor) 350 | 351 | - [[Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization \| Coursera]](https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning) 352 | 353 | - [[Inferential Statistical Analysis with Python --- главная \| Coursera]](https://www.coursera.org/learn/inferential-statistical-analysis-python/home/welcome) 354 | 355 | - [[Input and output -- Intro to Interviewing -- Grasshopper]](https://learn.grasshopper.app/project/intro-to-interviewing) 356 | 357 | - [[Intel® Edge AI Fundamentals with OpenVINO™]](https://www.udacity.com/course/intel-edge-AI-fundamentals-with-openvino--ud132) 358 | 359 | - [[Intro to Algorithms - Udacity]](https://classroom.udacity.com/courses/cs215) 360 | 361 | - [[Intro to Algorithms \| Udacity]](https://www.udacity.com/course/intro-to-algorithms--cs215) 362 | 363 | - [[Intro to Artificial Intelligence - Udacity]](https://classroom.udacity.com/courses/cs271) 364 | 365 | - [[Intro to Backend - Udacity]](https://classroom.udacity.com/courses/ud171) 366 | 367 | - [[Intro to Data Analysis \| Udacity]](https://www.udacity.com/course/intro-to-data-analysis--ud170) 368 | 369 | - [[Intro to Data Science]](https://www.udacity.com/course/intro-to-data-science--ud359) 370 | 371 | - [[Intro to Data Science]](https://www.udacity.com/course/intro-to-data-science--ud359) 372 | 373 | - [[Intro to Data Structures and Algorithms]](https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513) 374 | 375 | - [[Intro to Deep Learning with PyTorch]](https://www.udacity.com/course/deep-learning-pytorch--ud188) 376 | 377 | - [[Intro to Descriptive Statistics]](https://www.udacity.com/course/intro-to-descriptive-statistics--ud827) 378 | 379 | - [[Intro to DevOps]](https://www.udacity.com/course/intro-to-devops--ud611) 380 | 381 | - [[Intro To Dynamic Programming - Coding Interview Preparation \| Udemy]](https://www.udemy.com/course/dynamic-programming/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-5t_2vOX4idtKYG4iSwTiag) 382 | 383 | - [[Intro To Dynamic Programming - Coding Interview Preparation \| Udemy]](https://www.udemy.com/course/dynamic-programming/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-qJwyifi_MKZkj41MTaaH.Q) 384 | 385 | - [[Intro to Flask Series - YouTube]](https://www.youtube.com/playlist?list=PLXmMXHVSvS-AjwTOtiW1DXFYTgUlrUmHV) 386 | 387 | - [[Intro to Hadoop and MapReduce]](https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617) 388 | 389 | - [[Python Tutorial for Beginners]](https://intellipaat.com/blog/tutorial/python-tutorial/) 390 | 391 | - [[Intro to Inferential Statistics]](https://www.udacity.com/course/intro-to-inferential-statistics--ud201) 392 | 393 | - [[Intro to Progressive Web Apps]](https://www.udacity.com/course/intro-to-progressive-web-apps--ud811) 394 | 395 | - [[Intro to Relational Databases]](https://www.udacity.com/course/intro-to-relational-databases--ud197) 396 | 397 | - [[Intro to the Design of Everyday Things]](https://www.udacity.com/course/intro-to-the-design-of-everyday-things--design101) 398 | 399 | - [[Intro to Theoretical Computer Science]](https://www.udacity.com/course/intro-to-theoretical-computer-science--cs313) 400 | 401 | - [[Introduction - Scrimba Tutorial]](https://scrimba.com/p/pPPeCy/c7veET3) 402 | 403 | - [[Introduction to Computational Thinking and Data Science \| edX]](https://www.edx.org/course/introduction-to-computational-thinking-and-data-4?source=aw&awc=6798_1531898458_2bba85670feb320e9c65b2b6f704ee06&utm_source=aw&utm_medium=affiliate_partner&utm_content=text-link&utm_term=301045_https%3A%2F%2Fwww.class-central.com%2F) 404 | 405 | - [[Introduction to Computer Vision]](https://www.udacity.com/course/introduction-to-computer-vision--ud810) 406 | 407 | - [[Introduction to D3 - Scrimba Tutorial]](https://scrimba.com/p/pb4WsX/c2bB4hN) 408 | 409 | - [[Introduction to Data Science in Python \| Coursera]](https://www.coursera.org/learn/python-data-analysis) 410 | 411 | - [[Introduction to Data Science in Python \| Coursera]](https://www.coursera.org/learn/python-data-analysis?specialization=data-science-python) 412 | 413 | - [[Introduction to Dynamical Systems and Chaos]](https://www.complexityexplorer.org/courses/91-introduction-to-dynamical-systems-and-chaos) 414 | 415 | - [[Introduction to Graduate Algorithms]](https://www.udacity.com/course/introduction-to-graduate-algorithms--ud401) 416 | 417 | - [[Introduction to GraphQL \| GraphQL]](https://graphql.org/learn/) 418 | 419 | - [[Introduction to JavaScript \| Codecademy]](https://www.codecademy.com/learn/introduction-to-javascript) 420 | 421 | - [[Introduction to Machine Learning - Online Course \| DataCamp]](https://learn.datacamp.com/courses/introduction-to-machine-learning-with-r) 422 | 423 | - [[Introduction to Machine Learning Course \| Udacity]](https://www.udacity.com/course/intro-to-machine-learning--ud120) 424 | 425 | - [[Introduction to Operating Systems]](https://www.udacity.com/course/introduction-to-operating-systems--ud923) 426 | 427 | - [[Introduction to Operating Systems - Udacity]](https://classroom.udacity.com/courses/ud923) 428 | 429 | - [[Introduction to Python Programming - Udacity]](https://classroom.udacity.com/courses/ud1110) 430 | 431 | - [[Introduction to Python Programming \| Udacity]](https://www.udacity.com/course/introduction-to-python--ud1110) 432 | 433 | - [[Introduction To Python Programming \| Udemy]](https://www.udemy.com/course/pythonforbeginnersintro/learn/lecture/7717096#overview) 434 | 435 | - [[Introduction to Scripting in Python \| Coursera]](https://www.coursera.org/specializations/introduction-scripting-in-python) 436 | 437 | - [[IT Курсы программирования онлайн - обучение программированию, видео уроки \| ITVDN]](https://itvdn.com/ru) 438 | 439 | - [[JavaScript ES6 Intro - Scrimba Tutorial]](https://scrimba.com/p/p7v3gCd/cvk2Jfd) 440 | 441 | - [[Kaggle Mercedes и кросс-валидация / Блог компании Open Data Science / Хабр]](https://habr.com/ru/company/ods/blog/336168/) 442 | 443 | - [[Katacoda - Interactive Learning Platform for Software Engineers]](https://www.katacoda.com/) 444 | 445 | - [[Katacoda - Interactive Learning Platform for Software Engineers]](https://www.katacoda.com/) 446 | 447 | - [[Khan Academy \| Free Online Courses, Lessons & Practice]](https://www.khanacademy.org/#statistics) 448 | 449 | - [[Knowledge-Based AI: Cognitive Systems]](https://www.udacity.com/course/knowledge-based-ai-cognitive-systems--ud409) 450 | 451 | - [[Learn \| freeCodeCamp.org]](https://www.freecodecamp.org/learn) 452 | 453 | - [[Learn CI/CD with Jenkins using Interactive Browser-Based Labs \| Katacoda]](https://www.katacoda.com/courses/jenkins) 454 | 455 | - [[Learn CSS Animations]](https://scrimba.com/g/gcssanimations?utm_source=newsletter&utm_medium=email&utm_campaign=gcssanimations_mainlist_launch) 456 | 457 | - [[Learn Data Analysis using Pandas and Python (Module 2/3) \| Udemy]](https://www.udemy.com/course/learn-data-analysis-using-pandas-and-python/learn/lecture/11211074) 458 | 459 | - [[Learn Data Structures and Algorithms: Ace the Coding Interview \| Udemy]](https://www.udemy.com/course/learn-data-structure-algorithms-with-java-interview/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-UtExCtEfwxOwPM48vP0X6g) 460 | 461 | - [[Learn Data Visualization Tutorials \| Kaggle]](https://www.kaggle.com/learn/data-visualization) 462 | 463 | - [[Learn Git Version Control using Interactive Browser-Based Labs \| Katacoda]](https://www.katacoda.com/courses/git) 464 | 465 | - [[Learn How to Code \| Codecademy]](https://www.codecademy.com/learn/learn-how-to-code) 466 | 467 | - [[Learn Intermediate Machine Learning Tutorials \| Kaggle]](https://www.kaggle.com/learn/intermediate-machine-learning) 468 | 469 | - [[Learn Intro to Machine Learning Tutorials \| Kaggle]](https://www.kaggle.com/learn/intro-to-machine-learning) 470 | 471 | - [[Learn Kubernetes using Interactive Browser-Based Labs \| Katacoda]](https://www.katacoda.com/courses/kubernetes) 472 | 473 | - [[Learn Machine Learning using Interactive Browser-Based Labs \| Katacoda]](https://www.katacoda.com/courses/machine-learning) 474 | 475 | - [[Learn Pandas Tutorials \| Kaggle]](https://www.kaggle.com/learn/pandas) 476 | 477 | - [[Learn Python - Full Course for Beginners \[Tutorial\] - YouTube]](https://www.youtube.com/watch?v=rfscVS0vtbw) 478 | 479 | - [[Learn Python 3.6 for Total Beginners \| Udemy]](https://www.udemy.com/course/python-3-for-total-beginners/learn/lecture/8389008#overview) 480 | 481 | - [[Learn Python for Data Science, Structures, Algorithms, Interviews \| Udemy]](https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-SmD2rWBa9X3v_xfqcTwS9g) 482 | 483 | - [[Learn Python for Data Structures, Algorithms & Interviews \| Udemy]](https://www.udemy.com/course/python-for-data-structures-algorithms-and-interviews/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Y4DoHDW7JqaAhp8UbYY1Vw) 484 | 485 | - [[Learn Python: Build a Virtual Assistant \| Udemy]](https://www.udemy.com/course/learn-python-build-a-virtual-assistant-in-python/learn/lecture/5078926) 486 | 487 | - [[Learn Serverless and Functions/FaaS Technologies using Interactive Browser-Based Labs \| Katacoda]](https://www.katacoda.com/courses/serverless) 488 | 489 | - [[Learn SQL \| Codecademy]](https://www.codecademy.com/learn/learn-sql) 490 | 491 | - [[Learn to Code with Interactive Tutorials \| Scrimba]](https://scrimba.com/) 492 | 493 | - [[Learn to Program: Crafting Quality Code --- главная \| Coursera]](https://www.coursera.org/learn/program-code/home/welcome) 494 | 495 | - [[Learn to Program: The Fundamentals --- главная \| Coursera]](https://www.coursera.org/learn/learn-to-program/home/info) 496 | 497 | - [[Lecture 1: Administrivia; Introduction; Analysis of Algorithms, Insertion Sort, Mergesort \| Video Lectures \| Introduction to Algorithms (SMA 5503) \| Electrical Engineering and Computer Science \| MIT OpenCourseWare]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/lecture-1-administrivia-introduction-analysis-of-algorithms-insertion-sort-mergesort/) 498 | 499 | - [[Linear Algebra Refresher Course]](https://www.udacity.com/course/linear-algebra-refresher-course--ud953) 500 | 501 | - [[Livestreams \| Codecademy]](https://www.codecademy.com/learn/livestreams) 502 | 503 | - [[Machine Learning]](https://www.udacity.com/course/machine-learning--ud262) 504 | 505 | - [[Machine Learning A-Z (Python & R in Data Science Course) \| Udemy]](https://www.udemy.com/course/machinelearning/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Sv8Zh6oY0Us.D_q0ZY03tA) 506 | 507 | - [[Machine Learning Course Outline \| Course Outline \| CSMM.102x Courseware \| edX]](https://courses.edx.org/courses/course-v1:ColumbiaX+CSMM.102x+1T2020/courseware/2945e520da3f4b86bae2a390887faa10/0e0bc99270ad4788ba4d306467d6ea0c/) 508 | 509 | - [[Machine Learning Foundations: A Case Study Approach \| Coursera]](https://www.coursera.org/learn/ml-foundations?siteID=SAyYsTvLiGQ-j1V0zZ5fHhcoOM0BkeGXuw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 510 | 511 | - [[Machine Learning in Python (Data Science and Deep Learning) \| Udemy]](https://www.udemy.com/course/data-science-and-machine-learning-with-python-hands-on/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Tt64BSk_T3eae86HjaaI6Q) 512 | 513 | - [[Machine Learning Interview Preparation]](https://www.udacity.com/course/machine-learning-interview-prep--ud1001) 514 | 515 | - [[Machine Learning with TensorFlow on Google Cloud Platform \| Coursera]](https://www.coursera.org/specializations/machine-learning-tensorflow-gcp?) 516 | 517 | - [[Machine Learning: Unsupervised Learning]](https://www.udacity.com/course/machine-learning-unsupervised-learning--ud741) 518 | 519 | - [[Master Object Oriented Programming Concepts \| Udemy]](https://www.udemy.com/course/master-object-oriented-programming-concepts/learn/lecture/14292436#overview) 520 | 521 | - [[Master Python for Data Science]](https://www.linkedin.com/learning/paths/master-python-for-data-science) 522 | 523 | - [[Mathematics for Computer Science \| Electrical Engineering and Computer Science \| MIT OpenCourseWare]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/index.htm) 524 | 525 | - [[Mathematics for Computer Science \| Electrical Engineering and Computer Science \| MIT OpenCourseWare]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/) 526 | 527 | - [[Microsoft: Our new free Python programming language courses are for novice AI developers \| ZDNet]](https://www.zdnet.com/google-amp/article/microsoft-our-new-free-python-programming-language-courses-are-for-novice-ai-developers/) 528 | 529 | - [[MIT 6.042J Mathematics for Computer Science]](https://www.youtube.com/watch?v=L3LMbpZIKhQ) 530 | 531 | - [[Neural Networks and Deep Learning --- главная \| Coursera]](https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome) 532 | 533 | - [[Node.js Playground \| Katacoda]](https://www.katacoda.com/courses/nodejs/playground) 534 | 535 | - [[Nonlinear Dynamics: Mathematical and Computational Approaches]](https://www.complexityexplorer.org/courses/92-nonlinear-dynamics-mathematical-and-computational-approaches) 536 | 537 | - [[Open Data Science (ODS.ai)]](https://ods.ai/) 538 | 539 | - [[Open Data Science (ODS.ai)]](https://ods.ai/) 540 | 541 | - [[Open Machine Learning Course mlcourse.ai • mlcourse.ai]](https://mlcourse.ai/) 542 | 543 | - [[ossu/computer-science: Path to a free self-taught education in Computer Science!]](https://github.com/ossu/computer-science) 544 | 545 | - [[Practical Deep Learning for Coders, v3 \| fast.ai course v3]](https://course.fast.ai/) 546 | 547 | - [[Probabilistic Graphical Models 1: Representation \| Coursera]](https://www.coursera.org/learn/probabilistic-graphical-models) 548 | 549 | - [[Programming Languages]](https://www.udacity.com/course/programming-languages--cs262) 550 | 551 | - [[PY4E - Python for Everybody]](https://www.py4e.com/html3/11-regex) 552 | 553 | - [[Python - OOP \| Udemy]](https://www.udemy.com/course/python-oop/learn/lecture/11878738#overview) 554 | 555 | - [[Python - YouTube]](https://www.youtube.com/playlist?list=PL-_cKNuVAYAXkJLFpu-dq3nphjftOOR6C) 556 | 557 | - [[Python \| CoderNet]](https://codernet.ru/videos/python/) 558 | 559 | - [[Python 3, BBC Microbit, and MicroPython Bootcamp \| Udemy]](https://www.udemy.com/course/python-3-bootcamp/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-yt_5odS.FhZtVvCiK.As3A) 560 | 561 | - [[Python 3.4 Programming Tutorials - YouTube]](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAcbMi1sH6oAMk4JHw91mC_) 562 | 563 | - [[Python Basics --- главная \| Coursera]](https://www.coursera.org/learn/python-basics/home/info) 564 | 565 | - [[Python for Big Data Analytics - Edureka]](https://www.edureka.co/blog/videos/python-for-big-data-analytics/#utm_content=buffer09e67) 566 | 567 | - [[Python for Data Science \| edX]](https://www.edx.org/course/python-for-data-science-2?source=aw&awc=6798_1531898412_43bdbbbd83e68a090303b818a7c981ed) 568 | 569 | - [[Python for Data Science \| edX]](https://www.edx.org/course/python-for-data-science-2) 570 | 571 | - [[Python OOP : Four Pillars of OOP in Python 3 for Beginners \| Udemy]](https://www.udemy.com/course/python-oops-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-uMbd4yXuF6XDw3mBAVT4Mg) 572 | 573 | - [[Python OOP : Four Pillars of OOP in Python 3 for Beginners \| Udemy]](https://www.udemy.com/course/python-oops-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Nr4tBMduhid_6vaIlWdcqg) 574 | 575 | - [[Python Playground \| Katacoda]](https://www.katacoda.com/courses/python/playground) 576 | 577 | - [[Python Programming - Build a Reconnaissance Scanner \| Udemy]](https://www.udemy.com/course/python-programming-build-a-reconnaissance-scanner/learn/lecture/3964992#overview) 578 | 579 | - [[Python Programming - YouTube]](https://www.youtube.com/watch?v=N4mEzFDjqtA) 580 | 581 | - [[Python Programming for Beginners - Learn in 100 Easy Steps \| Udemy]](https://www.udemy.com/course/python-tutorial-for-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-3rVEPCsYZocttcQCmzYBNg) 582 | 583 | - [[Python Programming: A Concise Introduction --- главная \| Coursera]](https://www.coursera.org/learn/python-programming-introduction/home/info) 584 | 585 | - [[Python Track \| Exercism]](https://exercism.io/my/tracks/python) 586 | 587 | - [[Python Tutorials - YouTube]](https://www.youtube.com/playlist?list=PL-osiE80TeTt2d9bfVyTiXJA-UTHn6WwU) 588 | 589 | - [[Python Variables]](https://www.w3schools.com/python/python_variables.asp) 590 | 591 | - [[Python: Object Oriented Programming \| Udemy]](https://www.udemy.com/course/python-object-oriented-programming/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-_XEuwOZ_8ATanV5IEXa0Cw) 592 | 593 | - [[python: Online Courses, Training and Tutorials on LinkedIn Learning]](https://www.linkedin.com/learning/search?entityType=LEARNING_PATH&keywords=python) 594 | 595 | - [[Quickstart for Cloud SQL for PostgreSQL \| Google Cloud]](https://cloud.google.com/sql/docs/postgres/quickstart) 596 | 597 | - [[R Language Playground \| Katacoda]](https://www.katacoda.com/courses/rlang/playground) 598 | 599 | - [[React - Scrimba Tutorial]](https://scrimba.com/p/p7P5Hd/cWKkvVuL) 600 | 601 | - [[React & Django TUTORIAL Integration // REACTify Django - YouTube]](https://www.youtube.com/watch?v=AHhQRHE8IR8&t=37s) 602 | 603 | - [[React Tutorial: Learn React JS For Free \| Scrimba]](https://scrimba.com/g/glearnreact) 604 | 605 | - [[Reading: Welcome \| Welcome \| ALGS201x Courseware \| edX]](https://courses.edx.org/courses/course-v1:UCSanDiegoX+ALGS201x+1T2019/courseware/5d2fce07f792430dad418f828b327e98/ea2153a2fabc400e88b87b4668755dd2/) 606 | 607 | - [[Real-Time Analytics with Apache Storm]](https://www.udacity.com/course/real-time-analytics-with-apache-storm--ud381) 608 | 609 | - [[Regular Expressions Intro - Scrimba Tutorial]](https://scrimba.com/p/peyvVAN/c7mweAZ) 610 | 611 | - [[Responsive Images]](https://www.udacity.com/course/responsive-images--ud882) 612 | 613 | - [[Rock Paper Scissors - Python Tutorial \| Udemy]](https://www.udemy.com/course/rock-paper-scissors-python/learn/lecture/4175270#overview) 614 | 615 | - [[RPA: Automation Anywhere: Example: Ticket Processing - YouTube]](https://www.youtube.com/watch?v=YjWRhtL1D2E) 616 | 617 | - [[Scalable Microservices with Kubernetes]](https://www.udacity.com/course/scalable-microservices-with-kubernetes--ud615) 618 | 619 | - [[Scipy Lecture Notes --- Scipy lecture notes]](https://scipy-lectures.org/) 620 | 621 | - [[Self-Driving Fundamentals: Featuring Apollo]](https://www.udacity.com/course/self-driving-car-fundamentals-featuring-apollo--ud0419) 622 | 623 | - [[Sequence Models \| Coursera]](https://www.coursera.org/learn/nlp-sequence-models) 624 | 625 | - [[Shortest Paths Revisited, NP-Complete Problems and What To Do About Them \| Coursera]](https://www.coursera.org/learn/algorithms-npcomplete) 626 | 627 | - [[Software Architecture & Design]](https://www.udacity.com/course/software-architecture-design--ud821) 628 | 629 | - [[Software Development Methodologies \| LEARN]](https://learn.by/courses/course-v1:EPAM+SDM+ext1/about) 630 | 631 | - [[Software Development Processes and Methodologies \| Coursera]](https://www.coursera.org/learn/software-processes) 632 | 633 | - [[Software Testing Introduction (RUS) \| LEARN]](https://learn.by/courses/course-v1:EPAM+STI+ext/about) 634 | 635 | - [[Spark]](https://www.udacity.com/course/learn-spark-at-udacity--ud2002) 636 | 637 | - [[SQL for Data Analysis \| Udacity]](https://www.udacity.com/course/sql-for-data-analysis--ud198) 638 | 639 | - [[Stanford Engineering Everywhere \| CS229 - Machine Learning]](https://see.stanford.edu/Course/CS229) 640 | 641 | - [[Story by Data - YouTube]](https://www.youtube.com/channel/UCU9GTVEPqlSNRDHypVf3BRw) 642 | 643 | - [[Structuring Machine Learning Projects \| Coursera]](https://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning) 644 | 645 | - [[TensorFlow Getting Started using Interactive Browser-Based Labs \| Katacoda]](https://www.katacoda.com/basiafusinska/courses/tensorflow-getting-started) 646 | 647 | - [[Textbook \| Calculus Online Textbook \| MIT OpenCourseWare]](https://ocw.mit.edu/resources/res-18-001-calculus-online-textbook-spring-2005/textbook/) 648 | 649 | - [[The Bits and Bytes of Computer Networking \| Coursera]](https://www.coursera.org/learn/computer-networking) 650 | 651 | - [[The Ultimate GIT 5-day Challenge \| Udemy]](https://www.udemy.com/course/the-ultimate-git-5-day-challenge/learn/lecture/7668630#overview) 652 | 653 | - [[Tick Tock, Tick Tock -- Етап 9 -- Stepik]](https://stepik.org/lesson/26053/step/9?unit=8085) 654 | 655 | - [[Top Coding Interview Questions (Essential to Getting Hired) \| Udemy]](https://www.udemy.com/course/11-essential-coding-interview-questions/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-SXOVEmlGNn4OcRAoNiSv9w) 656 | 657 | - [[Try Django 1.11 // Python Web Development \| Udemy]](https://www.udemy.com/course/try-django-v1-11-python-web-development/learn/lecture/7604588?LSNPUBID=JVFxdTr9V80&components=purchase%2Ccacheable_buy_button%2Cbuy_button%2Crecommendation&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-Qsj0.d13.VSGccsgRd1Jnw&persist_locale=&locale=ru_RU#overview) 658 | 659 | - [[Try DJANGO Tutorial Series - YouTube]](https://www.youtube.com/playlist?list=PLEsfXFp6DpzTD1BD1aWNxS2Ep06vIkaeW) 660 | 661 | - [[Try DJANGO TUTORIAL Series (v2.2) // PYTHON Web Development with Django version 2.2 - YouTube]](https://www.youtube.com/watch?v=-oQvMHpKkms&t=50s) 662 | 663 | - [[TypeScript: Introduction - Scrimba Tutorial]](https://scrimba.com/p/pKwrCg/cEQBWH3) 664 | 665 | - [[Ubuntu Playground \| Katacoda]](https://www.katacoda.com/courses/ubuntu/playground) 666 | 667 | - [[UI design - Scrimba Tutorial]](https://scrimba.com/p/prpYaAy/cEKWgWSN) 668 | 669 | - [[Using Databases with Python \| Coursera]](https://www.coursera.org/learn/python-databases) 670 | 671 | - [[Version Control with Git]](https://www.udacity.com/course/version-control-with-git--ud123) 672 | 673 | - [[Video \| Version control with Git \| VCG Courseware \| LEARN]](https://learn.by/courses/course-v1:EPAM+VCG+ext1/courseware/8a58c84fd1d2474b8f69a15171f524ae/59ea97521eb949c2a43dc360eb062fff/1) 674 | 675 | - [[Video Lectures \| Introduction to Algorithms (SMA 5503) \| Electrical Engineering and Computer Science \| MIT OpenCourseWare]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/) 676 | 677 | - [[Video Lectures \| Introduction to Computer Science and Programming \| Electrical Engineering and Computer Science \| MIT OpenCourseWare]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00-introduction-to-computer-science-and-programming-fall-2008/video-lectures/) 678 | 679 | - [[Video Lectures \| Mathematics for Computer Science \| Electrical Engineering and Computer Science \| MIT OpenCourseWare]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/) 680 | 681 | - [[Visual Studio Code Playground \| vscode \| Katacoda]](https://www.katacoda.com/courses/vscode/playground) 682 | 683 | - [[Web Application & Software Architecture 101 - Learn Interactively]](https://www.educative.io/courses/web-application-software-architecture-101?affiliate_id=5073518643380224) 684 | 685 | - [[Web Design, Business, Technology Classes and Immersives \| General Assembly]](https://generalassemb.ly/education) 686 | 687 | - [[Web Tooling & Automation]](https://www.udacity.com/course/web-tooling-automation--ud892) 688 | 689 | - [[WebDriver \| LEARN]](https://learn.by/courses/course-v1:EPAM+WD+ext1/about) 690 | 691 | - [[Web-Services Introduction \| LEARN]](https://learn.by/courses/course-v1:EpamSystems+EPAM_WB_intro+2019_T1/about) 692 | 693 | - [[Website Performance Optimization]](https://www.udacity.com/course/website-performance-optimization--ud884) 694 | 695 | - [[Week 2 \| Week 2 \| CS50 Courseware \| edX]](https://courses.edx.org/courses/course-v1:HarvardX+CS50+X/courseware/b94adcd6bd6b4e69b2af7eef0d828674/7e8a56384ddf4142a59bb01b65629c52/?child=first) 696 | 697 | - [[Welcome 👋 to Vue.js! - Scrimba Tutorial]](https://scrimba.com/p/pZ45Hz/cK8RnSd) 698 | 699 | - [[Алгоритмы \| Coursera]](https://www.coursera.org/specializations/algorithms) 700 | 701 | - [[Алгоритмы на Python 3. Лекция №1 - YouTube]](https://www.youtube.com/watch?v=KdZ4HF1SrFs&list=PLRDzFCPr95fK7tr47883DFUbm4GeOjjc0) 702 | 703 | - [[Алгоритмы, часть I \| Coursera]](https://www.coursera.org/learn/algorithms-part1?siteID=SAyYsTvLiGQ-DWX_zVQKujUOEJDI8HTy7A&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 704 | 705 | - [[Алгоритмы, часть I \| Coursera]](https://www.coursera.org/learn/algorithms-part1?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-cRruDpdyWoRlqNubOm14Tg&siteID=JVFxdTr9V80-cRruDpdyWoRlqNubOm14Tg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80) 706 | 707 | - [[Алгоритмы, часть II \| Coursera]](https://www.coursera.org/learn/algorithms-part2?siteID=SAyYsTvLiGQ-PYOgJJcBycUDIM0OB9WI8Q&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 708 | 709 | - [[Алгоритмы, часть II \| Coursera]](https://www.coursera.org/learn/algorithms-part2?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-izoUUiGPVhA7d3.eGWiVSQ&siteID=JVFxdTr9V80-izoUUiGPVhA7d3.eGWiVSQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80) 710 | 711 | - [[Алексей Савватеев \" Математический анализ. Анонс\" - YouTube]](https://www.youtube.com/watch?v=gqttVWXn7p8&list=PLlx2izuC9gjgEWu2364R6GnrY8SMUYi-E) 712 | 713 | - [[Аналіз даних та статистичне виведення на мові R \| Prometheus]](https://courses.prometheus.org.ua/courses/IRF/Stat101/2016_T3/about) 714 | 715 | - [[Бесплатное учебное руководство по теме \"NumPy\" --- Deep Learning Prerequisites: The Numpy Stack in Python \| Udemy]](https://www.udemy.com/course/deep-learning-prerequisites-the-numpy-stack-in-python/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-F4KrvYM0rt_cHRD.CbWkBQ) 716 | 717 | - [[Бесплатное учебное руководство по теме \"Python\" --- Learn Python 3.6 for Total Beginners \| Udemy]](https://www.udemy.com/course/python-3-for-total-beginners/?LSNPUBID=JVFxdTr9V80&ranEAID=JVFxdTr9V80&ranMID=39197&ranSiteID=JVFxdTr9V80-oM2ZIYMnMagUaWggNNt8Tg) 718 | 719 | - [[Введение в математическое мышление \| Coursera]](https://www.coursera.org/learn/mathematical-thinking) 720 | 721 | - [[Введение в математическое мышление \| Coursera]](https://www.coursera.org/learn/mathematical-thinking?siteID=SAyYsTvLiGQ-l3O1WTQmZJJNOReT5kSisQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 722 | 723 | - [[Введение в науку о данных \| Coursera]](https://www.coursera.org/specializations/introduction-data-science?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-iS2ZFBhzbNlqafIT7kggTA&siteID=JVFxdTr9V80-iS2ZFBhzbNlqafIT7kggTA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80) 724 | 725 | - [[Введение в программирование с MATLAB \| Coursera]](https://www.coursera.org/learn/matlab?siteID=SAyYsTvLiGQ-LSoMASywYXrg3X7fF_V0eg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 726 | 727 | - [[Візуалізація даних \| Prometheus]](https://courses.prometheus.org.ua/courses/IRF/DV101/2016_T3/about) 728 | 729 | - [[Высшая математика для заочников и не только]](http://mathprofi.ru/) 730 | 731 | - [[Глубокое обучение \| Coursera]](https://www.coursera.org/specializations/deep-learning?action=enroll&authMode=signup&utm_campaign=WebsiteCoursesDLSTopButton&utm_medium=institutions&utm_source=deeplearningai) 732 | 733 | - [[Глубокое обучение \| Coursera]](https://www.coursera.org/specializations/deep-learning) 734 | 735 | - [[Интерактивные курсы --- HTML Academy]](https://htmlacademy.ru/courses) 736 | 737 | - [[Інформація про курс CS50 \| Prometheus]](https://courses.prometheus.org.ua/courses/course-v1:Prometheus+CS50+2019_T1/info) 738 | 739 | - [[Ключевые аспекты разработки на Python - Курсы по программированию]](https://ru.hexlet.io/courses/python-development-course) 740 | 741 | - [[Корисні ресурси для програміста (оновив 11 травня 2020) \| DOU]](https://dou.ua/forums/topic/26544/) 742 | 743 | - [[Курсы по программированию]](https://ru.hexlet.io/courses?pricing_type_eq=free) 744 | 745 | - [[Машинне навчання \| Prometheus]](https://courses.prometheus.org.ua/courses/IRF/ML101/2016_T3/about) 746 | 747 | - [[Машинное обучение \| Coursera]](https://www.coursera.org/learn/machine-learning) 748 | 749 | - [[Машинное обучение \| Coursera]](https://www.coursera.org/learn/machine-learning?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-oESoY8qkZMT.slfFc4HQpw&siteID=JVFxdTr9V80-oESoY8qkZMT.slfFc4HQpw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80) 750 | 751 | - [[Машинное обучение \| Coursera]](https://www.coursera.org/specializations/machine-learning?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-3jZBK_BJODd9KiGHawegMg&siteID=JVFxdTr9V80-3jZBK_BJODd9KiGHawegMg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80) 752 | 753 | - [[Машинное обучение для людей :: Разбираемся простыми словами :: Блог Вастрик.ру]](https://vas3k.ru/blog/machine_learning/) 754 | 755 | - [[Начало]](https://compscicenter.ru/courses/python/2015-autumn/classes/1364/) 756 | 757 | - [[Нейронные сети и глубокое обучение \| Coursera]](https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning) 758 | 759 | - [[Онлайн-курсы --- когда угодно, где угодно \| Udemy]](https://www.udemy.com/cart/subscribe/course/808422/) 760 | 761 | - [[Онлайн-курсы Computer Science Center]](https://compscicenter.ru/online/) 762 | 763 | - [[Основи програмування CS50 2019 \| Prometheus]](https://courses.prometheus.org.ua/courses/course-v1:Prometheus+CS50+2019_T1/about) 764 | 765 | - [[Основы React.js]](https://learn.javascript.ru/screencast/react) 766 | 767 | - [[Основы компьютерных вычислений \| Coursera]](https://www.coursera.org/specializations/computer-fundamentals) 768 | 769 | - [[Открытый курс машинного обучения. Тема 1. Первичный анализ данных с Pandas / Блог компании Open Data Science / Хабр]](https://habr.com/ru/company/ods/blog/322626/) 770 | 771 | - [[Открытый курс машинного обучения. Тема 2: Визуализация данных c Python / Блог компании Open Data Science / Хабр]](https://habr.com/ru/company/ods/blog/323210/) 772 | 773 | - [[Открытый курс машинного обучения. Тема 3. Классификация, деревья решений и метод ближайших соседей / Open Data Science corporate blog / Habr]](https://habr.com/en/company/ods/blog/322534/#derevo-resheniy) 774 | 775 | - [[Открытый курс машинного обучения. Тема 3. Классификация, деревья решений и метод ближайших соседей / Блог компании Open Data Science / Хабр]](https://habr.com/ru/company/ods/blog/322534/) 776 | 777 | - [[Панель курсів \| Prometheus]](https://courses.prometheus.org.ua/dashboard) 778 | 779 | - [[Практическое компьютерное обучение \| Coursera]](https://www.coursera.org/learn/practical-machine-learning?courseSlug=practical-machine-learning&showOnboardingModal=true&siteID=SAyYsTvLiGQ-AiRobBFiNhOX2__wxKDUBg&utm_campaign=SAyYsTvLiGQ&utm_content=10&utm_medium=partners&utm_source=linkshare) 780 | 781 | - [[Прикладная наука о данных с Python \| Coursera]](https://www.coursera.org/specializations/data-science-python) 782 | 783 | - [[Программирование мобильных приложений для портативных систем на базе Android: Часть 1 \| Coursera]](https://www.coursera.org/learn/android-programming?siteID=SAyYsTvLiGQ-6PCL2eb.Bt6eXiifkJCcxQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 784 | 785 | - [[Программирование мобильных приложений для портативных систем на базе Android: Часть 2 \| Coursera]](https://www.coursera.org/learn/android-programming-2?siteID=SAyYsTvLiGQ-4lrOStZNI5FfHqS0bB2sVg&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 786 | 787 | - [[Программирование на Python \| Coursera]](https://www.coursera.org/specializations/programming-in-python) 788 | 789 | - [[Профессиональная сертификация \'Google IT Automation with Python\' \| Coursera]](https://www.coursera.org/professional-certificates/google-it-automation?ranMID=40328&ranEAID=JVFxdTr9V80&ranSiteID=JVFxdTr9V80-2G2cp1Grl76lCbmcds.8.A&siteID=JVFxdTr9V80-2G2cp1Grl76lCbmcds.8.A&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=JVFxdTr9V80) 790 | 791 | - [[Разведочный анализ данных \| Coursera]](https://www.coursera.org/learn/exploratory-data-analysis?siteID=SAyYsTvLiGQ-a6bPdq0USJFLoTVZMMv8Fw&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 792 | 793 | - [[Разработка и проектирование адаптивных веб-сайтов \| Coursera]](https://www.coursera.org/specializations/website-development?recoOrder=8&utm_medium=email&utm_source=recommendations&utm_campaign=recommendationsEmail~recs_email~2020-03-30) 794 | 795 | - [[Розробка та аналіз алгоритмів. Частина 1 \| Prometheus]](https://edx.prometheus.org.ua/courses/KPI/Algorithms101/2015_Spring/about) 796 | 797 | - [[Скринкаст по Angular]](https://learn.javascript.ru/screencast/angular) 798 | 799 | - [[Скринкаст по Gulp]](https://learn.javascript.ru/screencast/gulp) 800 | 801 | - [[Скринкаст по Node.JS]](https://learn.javascript.ru/screencast/nodejs) 802 | 803 | - [[Скринкаст по Webpack]](https://learn.javascript.ru/screencast/webpack) 804 | 805 | - [[Современный учебник JavaScript]](https://learn.javascript.ru/) 806 | 807 | - [[Структуры данных в Python \| Coursera]](https://www.coursera.org/learn/python-data?siteID=SAyYsTvLiGQ-MOrZ7pDRePyazJCxqmOixQ&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 808 | 809 | - [[Структуры и алгоритмы данных \| Coursera]](https://www.coursera.org/specializations/data-structures-algorithms) 810 | 811 | - [[Теория вероятностей для начинающих \| Coursera]](https://www.coursera.org/learn/probability-theory-basics) 812 | 813 | - [[Теория игр \| Coursera]](https://www.coursera.org/learn/game-theory-1) 814 | 815 | - [[Уроки по Python для начинающих и программистов \~ PythonRu]](https://pythonru.com/uroki) 816 | 817 | - [[Учимся программировать: основы \| Coursera]](https://www.coursera.org/learn/learn-to-program?siteID=SAyYsTvLiGQ-CjJZj4Z4fjD5yiEYr0tQUA&utm_content=10&utm_medium=partners&utm_source=linkshare&utm_campaign=SAyYsTvLiGQ) 818 | 819 | - [[Функции - Московский физико-технический институт, Mail.Ru Group & ФРОО \| Coursera]](https://www.coursera.org/learn/diving-in-python/lecture/JwQvv/funktsii) 820 | 821 | - [[Язык программирования JavaScript]](https://learn.javascript.ru/js) 822 | 823 | - [[🤖 Интерактивные эксперименты с машинным обучением на TensorFlow \| DOU]](https://dou.ua/forums/topic/30478/?from=comment-digest_topic&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments) 824 | 825 | #### **Video** 826 | 827 | - [[6.824 Lecture 1 - YouTube]](https://www.youtube.com/watch?v=hBWfjkGKRas&list=PLkcQbKbegkMqiWf7nF8apfMRL4P4sw8UL) 828 | - [[62 лучших видео для тех, кто хочет углубить знания в JavaScript]](https://proglib.io/p/js-must-watch-videos/) 829 | 830 | - [[AlSweigart - Twitch]](https://www.twitch.tv/alsweigart) 831 | 832 | - [[Berkeley AI Materials]](http://ai.berkeley.edu/lecture_videos.html) 833 | 834 | - [[Build a Data Analysis Library from Scratch in Python - YouTube]](https://www.youtube.com/playlist?list=PLVyhfExBT1XDTu-oocI3ttl_OPhulAJOp) 835 | 836 | - [[Building a keylogger using Python + Pynput - YouTube]](https://www.youtube.com/playlist?list=PLhTjy8cBISEoYoJd-zR8EV0NqDddAjK3m) 837 | 838 | - [[Compilers with Alex Aiken - YouTube]](https://www.youtube.com/watch?v=sm0QQO-WZlM&list=PLFB9EC7B8FE963EB8) 839 | 840 | - [[Computer Science 162 (Fall 2010) - Lecture 1 - YouTube]](https://www.youtube.com/watch?v=feAOZuID1HM&list=PLggtecHMfYHA7j2rF7nZFgnepu_uPuYws) 841 | 842 | - [[Computer Science 61A, 001 - Spring 2011 : Free Movies : Free Download, Borrow and Streaming : Internet Archive]](https://archive.org/details/ucberkeley-webcast-PL3E89002AA9B9879E?sort=titleSorter) 843 | 844 | - [[CS144 Fall 2013, Video 4-0: Congestion Control - YouTube]](https://www.youtube.com/watch?v=nh970YyKRDA&list=PLvFG2xYBrYAQCyz4Wx3NPoYJOFjvU7g2Z) 845 | 846 | - [[Essence of linear algebra - YouTube]](https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab) 847 | 848 | - [[Git - Lecture 0 - CS50\'s Web Programming with Python and JavaScript - YouTube]](https://www.youtube.com/watch?v=1u2qu-EmIRc&list=PLhQjrBD2T382hIW-IsOVuXP1uMzEvmcE5) 849 | 850 | - [[Golovach Courses - YouTube]](https://www.youtube.com/user/KharkovITCourses/playlists) 851 | 852 | - [[L01 Functional Programming \| UC Berkeley CS 61A, Spring 2010 - YouTube]](https://www.youtube.com/watch?v=4leZ1Ca4f0g&list=PLhMnuBfGeCDNgVzLPxF9o5UNKG1b-LFY9) 853 | 854 | - [[Steven Skiena - Algorithms]](https://www.youtube.com/user/StevenSkiena) 855 | 856 | - [[Tech Debates Webinar \| Ruby vs Python - Zoom]](https://zoom.us/rec/play/68Ekcbz-_TI3T4ed5ASDV6MsW9W6fK6shyMa__AFzEfjBSQGNVHyMLAUYecSbIrhyfLfpKmy1NY0oH5n?continueMode=true) 857 | 858 | - [[UC Berkeley CS professor Brian Harvey]](https://www.youtube.com/watch?v=2WDdFEMC7a4&list=PLPj7zH6RMqHs-hypGyogmEIgJSSWgFJ1w) 859 | 860 | - [[UCBerkeley Course Computer Science 186 : Free Download, Borrow, and Streaming : Internet Archive]](https://archive.org/details/UCBerkeley_Course_Computer_Science_186) 861 | 862 | - [[Video Lectures \| Structure and Interpretation of Computer Programs \| Electrical Engineering and Computer Science \| MIT OpenCourseWare]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video-lectures/) 863 | 864 | - [[Изучение программирования. SQL - YouTube]](https://www.youtube.com/playlist?list=PLDywto_IU4_4RU0sKfID6OY-np6uGmhlf) 865 | 866 | - [[Лучшие Youtube-каналы для Frontend-разработчика]](https://proglib.io/p/frontend-youtube-channels/) 867 | 868 | - [[Лучший видеокурс по сетевым технологиям]](https://proglib.io/p/networks-course/) 869 | 870 | - [[Огромный видеокурс по основам JavaScript от freeCodeCamp]](https://proglib.io/p/js-basics/) 871 | 872 | ### **Textbooks** 873 | 874 | - [[100 days of algorithms -- Medium]](https://medium.com/100-days-of-algorithms) 875 | 876 | - [[30 Helpful Python Snippets That You Can Learn in 30 Seconds or Less]](https://towardsdatascience.com/30-helpful-python-snippets-that-you-can-learn-in-30-seconds-or-less-69bb49204172) 877 | 878 | - [[97-things-every-programmer-should-know/ru/thing\_01 at master · 97-things/97-things-every-programmer-should-know]](https://github.com/97-things/97-things-every-programmer-should-know/tree/master/ru/thing_01) 879 | 880 | - [[All the basics of Python classes - Level Up Coding]](https://levelup.gitconnected.com/all-the-basics-of-python-classes-8b07046d2a52) 881 | 882 | - [[BeginnersGuide/Programmers - Python Wiki]](https://wiki.python.org/moin/BeginnersGuide/Programmers) 883 | 884 | - [[Calculating Streaks in Pandas]](https://joshdevlin.com/blog/calculate-streaks-in-pandas/?utm_source=Iterable&utm_medium=email&utm_campaign=newsletter_82) 885 | 886 | - [[Cheat Sheet - Google Таблиці]](https://docs.google.com/spreadsheets/d/1eNBLcKqCVN9zZQvfGUmm5bAzsETqB_ugVOlUtmvJGYU/edit#gid=0) 887 | 888 | - [[Cheat Sheet of Machine Learning and Python (and Math) Cheat Sheets]](https://medium.com/machine-learning-in-practice/cheat-sheet-of-machine-learning-and-python-and-math-cheat-sheets-a4afe4e791b6) 889 | 890 | - [[Deep Learning]](http://www.deeplearningbook.org/) 891 | 892 | - [[DevDocs API Documentation]](https://devdocs.io/) 893 | 894 | - [[DZone Big Data]](https://dzone.com/big-data-analytics-tutorials-tools-news) 895 | 896 | - [[Front-end Developer Handbook 2019 - Learn the entire JavaScript, CSS and HTML development practice!]](https://frontendmasters.com/books/front-end-handbook/2019/) 897 | 898 | - [[Google\'s Python Class \| Python Education \| Google Developers]](https://developers.google.com/edu/python) 899 | 900 | - [[Learn DS & Algorithms \| Programiz]](https://www.programiz.com/dsa) 901 | 902 | - [[List of Keywords in Python Programming]](https://www.programiz.com/python-programming/keyword-list) 903 | 904 | - [[Manning \| Catalog]](https://www.manning.com/catalog) 905 | 906 | - [[Manning \| Deep Learning with Python, Second Edition]](https://www.manning.com/books/deep-learning-with-python-second-edition) 907 | 908 | - [[Manning \| Get Programming]](https://www.manning.com/books/get-programming) 909 | 910 | - [[Manning \| liveBook]](https://www.manning.com/livebook-program) 911 | 912 | - [[Manning \| Making Sense of Edge Computing]](https://www.manning.com/books/making-sense-of-edge-computing) 913 | 914 | - [[Manning \| The Quick Python Book, Third Edition]](https://www.manning.com/books/the-quick-python-book-third-edition#toc) 915 | 916 | - [[MLOps: Continuous delivery and automation pipelines in machine learning]](https://cloud.google.com/solutions/machine-learning/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning) 917 | 918 | - [[NumPy Tutorial: Data Analysis with Python -- Dataquest]](https://www.dataquest.io/blog/numpy-tutorial-python/) 919 | 920 | - [[Python - Все для студента]](https://www.twirpx.com/files/applied/comp/python/) 921 | 922 | - [[Python \| CoderNet]](https://codernet.ru/books/python/) 923 | 924 | - [[Python 3 для начинающих и чайников - уроки программирования]](https://pythonworld.ru/) 925 | 926 | - [[Python Pandas Tutorial - Tutorialspoint]](https://www.tutorialspoint.com/python_pandas/) 927 | 928 | - [[Python Tricks 101🐍 - HackerNoon.com - Medium]](https://medium.com/hackernoon/python-tricks-101-2836251922e0) 929 | 930 | - [[Python Tutorial \| Learn Python For Data Science]](https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/) 931 | 932 | - [[Python Tutorial for Beginners: Learn Python Programming in 7 Days]](https://www.guru99.com/python-tutorials.html) 933 | 934 | - [[Python на Хабре / Хабр]](https://habr.com/ru/post/205944/) 935 | 936 | - [[Python/Учебник Python 3.1 --- Викиучебник]](https://ru.wikibooks.org/wiki/Python/%D0%A3%D1%87%D0%B5%D0%B1%D0%BD%D0%B8%D0%BA_Python_3.1) 937 | 938 | - [[Scipy Tutorial: Vectors and Arrays (Linear Algebra) - DataCamp]](https://www.datacamp.com/community/tutorials/python-scipy-tutorial) 939 | 940 | - [[skromnitsky/awesome: 😎 Awesome lists about all kinds of interesting topics]](https://github.com/skromnitsky/awesome) 941 | 942 | - [[Stencil Computations with Numba --- Dask Examples documentation]](https://examples.dask.org/applications/stencils-with-numba.html) 943 | 944 | - [[The Ultimate Guide to Python: How to Go From Beginner to Pro]](https://www.freecodecamp.org/news/the-ultimate-guide-to-python-from-beginner-to-intermediate-to-pro/amp/) 945 | 946 | - [[Tutorials - Online Data Analysis & Interpretation \| DataCamp]](https://www.datacamp.com/community/tutorials) 947 | 948 | - [[www.ПЕРВЫЕ ШАГИ.ru :: Шаг 38 - PL/SQL - вводный курс]](http://www.firststeps.ru/sql/oracle/r.php?38) 949 | 950 | - [[Вычислительная Фотография :: Будущее фотографии --- это код :: Блог Вастрик.ру]](https://vas3k.ru/blog/computational_photography/) 951 | 952 | - [[Добавляем параллельные вычисления в Pandas / Хабр]](https://habr.com/ru/post/498904/) 953 | 954 | - [[Инструменты Python: лучшая шпаргалка для начинающих]](https://proglib.io/p/py-tools/) 955 | 956 | - [[Нескучный туториал по NumPy / Хабр]](https://habr.com/ru/post/469355/) 957 | 958 | - [[Оглавление --- Problem Solving with Algorithms and Data Structures]](http://aliev.me/runestone/index.html) 959 | 960 | - [[Основы языка программирования Python за 10 минут / Хабр]](https://habr.com/ru/post/31180/) 961 | 962 | - [[Программирование на языке PL/SQL под базы данных Oracle]](https://oracle-patches.com/db/sql/3125-%D0%BE%D1%81%D0%BD%D0%BE%D0%B2%D1%8B-%D1%8F%D0%B7%D1%8B%D0%BA%D0%B0-pl-sql) 963 | 964 | - [[Руководство Oracle PL/SQL]](https://o7planning.org/ru/10313/oracle-pl-sql-programming-tutorial) 965 | 966 | - [[Содержание E:\\DEV\\Programming\\]](file:///E:\DEV\Programming\) 967 | 968 | - [[Сохраните в закладках эту статью, если вы новичок в Python (особенно если изучаете Python сами) / Хабр]](https://habr.com/ru/post/498074/) 969 | 970 | ### **Books** 971 | 972 | - [[10 лучших книг по программированию по мнению Reddit]](https://proglib.io/p/best-programming-books/) 973 | 974 | - [[15 лучших книг по программированию на Python - Kompot Journal]](https://read.kj.media/obuchenie/books-python/) 975 | 976 | - [[3 лучших книги по объектно-ориентированному программированию]](https://proglib.io/p/oop-books/) 977 | 978 | - [[3 лучших книги по объектно-ориентированному программированию]](https://proglib.io/p/oop-books/amp/) 979 | 980 | - [[5 отличных англоязычных книг по теоретическому Computer Science]](https://proglib.io/p/5-computer-science-books/) 981 | 982 | - [[6 бесплатных книг по алгоритмам в программировании]](https://proglib.io/p/algorythm-books/) 983 | 984 | - [[6.042J Complete course notes]](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/readings/MIT6_042JF10_notes.pdf) 985 | 986 | - [[8 книг по компьютерным сетям]](https://proglib.io/p/network-books/) 987 | 988 | - [[Architectural Styles and the Design of Network-based Software Architectures]](https://www.ics.uci.edu/~fielding/pubs/dissertation/top.htm) 989 | 990 | - [[Build your first app \| Android Developers]](https://developer.android.com/training/basics/firstapp/index.html) 991 | 992 | - [[Building Blocks for Theoretical Computer Science]](http://mfleck.cs.illinois.edu/building-blocks/index.html) 993 | 994 | - [[Computer Networking: a Top Down Approach]](https://gaia.cs.umass.edu/kurose_ross/wireshark.htm) 995 | 996 | - [[Data-Oriented Design]](https://www.dataorienteddesign.com/dodmain/dodmain.html) 997 | 998 | - [[Distributed Systems: Principles and Paradigms]](http://barbie.uta.edu/~jli/Resources/MapReduce&Hadoop/Distributed%20Systems%20Principles%20and%20Paradigms.pdf) 999 | 1000 | - [[Dive Into Python 3]](https://diveintopython3.net/) 1001 | 1002 | - [[dmitryrubtsov/Python-for-Data-Science: Education]](https://github.com/dmitryrubtsov/Python-for-Data-Science) 1003 | 1004 | - [[Domain Driven Design Quickly]](https://www.infoq.com/minibooks/domain-driven-design-quickly/) 1005 | 1006 | - [[Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.]](http://web.stanford.edu/~hastie/ElemStatLearn/) 1007 | 1008 | - [[Eloquent JavaScript]](https://eloquentjavascript.net/) 1009 | 1010 | - [[holoviz/hvplot: A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews]](https://github.com/holoviz/hvplot) 1011 | 1012 | - [[How to Design Programs]](https://htdp.org/) 1013 | 1014 | - [[How to not get caught while web scraping? - Data Driven Investor - Medium]](https://medium.com/datadriveninvestor/how-to-not-get-caught-while-web-scraping-88097b383ab8) 1015 | 1016 | - [[HTML5 и CSS3. Веб-разработка по стандартам нового поколения - Хоган Брайан - Google Книги]](https://books.google.ru/books/about/HTML5_%D0%B8_CSS3_%D0%92%D0%B5%D0%B1_%D1%80%D0%B0%D0%B7%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%BA.html?id=Sgcw0HrQ7KYC&redir_esc=y&hl=ru) 1017 | 1018 | - [[Introduction - Выразительный Javascript]](https://eloquent-javascript.karmazzin.ru/) 1019 | 1020 | - [[Introduction to Computing: Explorations in Language, Logic, and Machines]](http://computingbook.org/) 1021 | 1022 | - [[Introduction to Linear Algebra, 5th Edition]](http://math.mit.edu/~gs/linearalgebra/) 1023 | 1024 | - [[Introduction to Programming in Java · Computer Science]](https://introcs.cs.princeton.edu/java/home/) 1025 | 1026 | - [[JQuery]](http://jquery.page2page.ru/index.php5/%D0%97%D0%B0%D0%B3%D0%BB%D0%B0%D0%B2%D0%BD%D0%B0%D1%8F_%D1%81%D1%82%D1%80%D0%B0%D0%BD%D0%B8%D1%86%D0%B0) 1027 | 1028 | - [[Learn Python - Free Interactive Python Tutorial]](https://www.learnpython.org/) 1029 | 1030 | - [[Learn Python in Y Minutes]](https://learnxinyminutes.com/docs/python/) 1031 | 1032 | - [[Learn Python the Hard Way]](https://learnpythonthehardway.org/) 1033 | 1034 | - [[Python Documentation contents --- Python 3.8.2 documentation]](https://docs.python.org/3/contents.html) 1035 | 1036 | - [[R Tutorial for Beginners: Learning R Programming]](https://www.guru99.com/r-tutorial.html) 1037 | 1038 | - [[Springer has released 65 Machine Learning and Data books for free]](https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189) 1039 | 1040 | - [[Teach Yourself Computer Science]](https://teachyourselfcs.com/) 1041 | 1042 | - [[The Functional Art: An Introduction to Information Graphics and Visualization: The Functional Art]](http://www.thefunctionalart.com/p/about-book.html) 1043 | 1044 | - [[The HoTT Book \| Homotopy Type Theory]](https://homotopytypetheory.org/book/) 1045 | 1046 | - [[The Python Standard Library --- Python 3.8.2 documentation]](https://docs.python.org/3/library/) 1047 | 1048 | - [[TheoryOfComputation.dvi]](http://cglab.ca/~michiel/TheoryOfComputation/TheoryOfComputation.pdf) 1049 | 1050 | - [[Think Python]](http://greenteapress.com/thinkpython/html/index.html) 1051 | 1052 | - [[tr22.pdf]](http://www.tac.mta.ca/tac/reprints/articles/22/tr22.pdf) 1053 | 1054 | - [[Tutorial - Learn Python in 10 minutes - Stavros\' Stuff]](https://www.stavros.io/tutorials/python/) 1055 | 1056 | - [[Tutorials --- pandas 1.0.3 documentation]](https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html) 1057 | 1058 | - [[unmaintainable code : Java Glossary]](https://www.mindprod.com/jgloss/unmain.html) 1059 | 1060 | - [[You-Dont-Know-JS/README.md at 2nd-ed · getify/You-Dont-Know-JS]](https://github.com/getify/You-Dont-Know-JS/blob/2nd-ed/get-started/README.md) 1061 | 1062 | - [[You-Dont-Know-JS/README.md at 2nd-ed · getify/You-Dont-Know-JS]](https://github.com/getify/You-Dont-Know-JS/blob/2nd-ed/scope-closures/README.md) 1063 | 1064 | - [[Большая книга веб-дизайна - Терри Фельке-Моррис - Google книги]](https://books.google.ru/books?id=d2oaBAAAQBAJ&printsec=frontcover&hl=uk&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false) 1065 | 1066 | - [[Каталог книг \| VK]](https://m.vk.com/page-54530371_44620320) 1067 | 1068 | - [[Категория:Программирование --- Википедия]](https://ru.wikipedia.org/wiki/%D0%9A%D0%B0%D1%82%D0%B5%D0%B3%D0%BE%D1%80%D0%B8%D1%8F:%D0%9F%D1%80%D0%BE%D0%B3%D1%80%D0%B0%D0%BC%D0%BC%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5) 1069 | 1070 | - [[Книга «Python для сложных задач: наука о данных и машинное обучение» / Блог компании Издательский дом «Питер» / Хабр]](https://habr.com/ru/company/piter/blog/339766/) 1071 | 1072 | - [[Лучший самоучитель по Java для начинающих и продвинутых]](https://javarush.ru/groups/posts/top-7-knig-po-java) 1073 | 1074 | - [[Математические основы анализа данных: подборка материалов по вузовской математике]](https://proglib.io/p/math-materials-for-ds/) 1075 | 1076 | - [[Обложка --- A Byte Of Python --- русский перевод]](http://wombat.org.ua/AByteOfPython/) 1077 | 1078 | - [[Оглавление --- Problem Solving with Algorithms and Data Structures]](http://aliev.me/runestone/) 1079 | 1080 | - [[Перевод документации Python 3.x]](https://pythoner.name/documentation) 1081 | 1082 | - [[Помнить все: делимся лучшей шпаргалкой по Python]](https://proglib.io/p/python-cheatsheet) 1083 | 1084 | - [[Топ 10 самых популярных книг по программированию]](https://proglib.io/p/top-10-programming-books/) 1085 | 1086 | - [[Учебник по NumPy - Визуализация примеров для быстрого изучения]](https://python-scripts.com/numpy) 1087 | 1088 | ### **Games for Education** 1089 | 1090 | - [[10 мобильных приложений, которые научат вас программировать]](https://proglib.io/p/programming-apps/) 1091 | 1092 | - [[12 бесплатных ресурсов для обучения программированию в игровой форме]](https://proglib.io/p/learn-programming-playfully/) 1093 | 1094 | - [[House Prices: Advanced Regression Techniques \| Kaggle]](https://www.kaggle.com/c/house-prices-advanced-regression-techniques) 1095 | 1096 | - [[Learn Git Branching]](https://learngitbranching.js.org/) 1097 | 1098 | - [[Play CodeCombat Levels - Learn Python, JavaScript, and HTML \| CodeCombat]](https://codecombat.com/play/forest) 1099 | 1100 | - [[The Python Challenge]](http://www.pythonchallenge.com/) 1101 | 1102 | - [[Titanic: Machine Learning from Disaster \| Kaggle]](https://www.kaggle.com/c/titanic/overview) 1103 | 1104 | ### **Online education (others)** 1105 | 1106 | - [[arXiv.org e-Print archive]](https://arxiv.org/) 1107 | 1108 | - [[Code Basics: основы программирования на Javascript]](https://ru.code-basics.com/languages/javascript) 1109 | 1110 | - [[CoderNet Портал для помощи программистам \| CoderNet]](https://codernet.ru/) 1111 | 1112 | - [[cs184/284a]](https://cs184.eecs.berkeley.edu/sp20) 1113 | 1114 | - [[CS61C Spring 2015: Great Ideas in Computer Architecture (Machine Structures)]](http://inst.eecs.berkeley.edu/~cs61c/sp15/) 1115 | 1116 | - [[Free JavaScript Course: Code School JavaScript Road Trip Part 1 \| Pluralsight]](https://www.pluralsight.com/courses/code-school-javascript-road-trip-part-1) 1117 | 1118 | - [[kanaka/mal: mal - Make a Lisp]](https://github.com/kanaka/mal) 1119 | 1120 | - [[Learn Basic JavaScript: Declare JavaScript Variables \| freeCodeCamp.org]](https://www.freecodecamp.org/learn/javascript-algorithms-and-data-structures/basic-javascript/declare-javascript-variables) 1121 | 1122 | - [[Machine Learning is Fun! - Adam Geitgey - Medium]](https://medium.com/@ageitgey/machine-learning-is-fun-80ea3ec3c471) 1123 | 1124 | - [[Machine Learning Mastery]](https://machinelearningmastery.com/) 1125 | 1126 | - [[new fast.ai course: A Code-First Introduction to Natural Language Processing · fast.ai]](https://www.fast.ai/2019/07/08/fastai-nlp/) 1127 | 1128 | - [[OOP Concept Tutorial in Java - Object Oriented Programming \| Java67]](https://www.java67.com/2016/09/oops-concept-tutorial-in-java-object-oriented-programming.html) 1129 | 1130 | - [[Operating Systems: Three Easy Pieces]](http://pages.cs.wisc.edu/~remzi/OSTEP/) 1131 | 1132 | - [[Programming -- Towards Data Science]](https://towardsdatascience.com/programming/home) 1133 | 1134 | - [[PyVideo.org]](https://pyvideo.org/) 1135 | 1136 | - [[Skiena\'s Audio Lectures]](http://www3.cs.stonybrook.edu/~algorith/video-lectures/) 1137 | 1138 | - [[Solve Easy Unpack - Py.CheckiO]](https://py.checkio.org/mission/easy-unpack/solve/) 1139 | 1140 | - [[Web \| Google Developers]](https://developers.google.com/web) 1141 | 1142 | - [[Why every Data Scientist should use Dask? - Towards Data Science]](https://towardsdatascience.com/why-every-data-scientist-should-use-dask-81b2b850e15b) 1143 | 1144 | - [[Открытый курс машинного обучения. Тема 1. Первичный анализ данных с Pandas / Хабр]](https://m.habr.com/ru/company/ods/blog/322626/) 1145 | 1146 | - [[Упражнения по SQL]](http://www.sql-ex.ru/index.php) 1147 | 1148 | ### **IT-events** 1149 | 1150 | - [[Календар IT-подій в Києві \| DOU]](https://dou.ua/calendar/city/%D0%9A%D0%B8%D0%B5%D0%B2/) 1151 | 1152 | ### **Training** 1153 | 1154 | - [[Day 0: Hello, World. \| HackerRank]](https://www.hackerrank.com/challenges/30-hello-world/problem?h_r=email&unlock_token=1770c0299fa24248c80aca07b1ba45b7971a0c13&utm_campaign=30_days_of_code_continuous&utm_medium=email&utm_source=daily_reminder) 1155 | 1156 | - [[Problems - LeetCode]](https://leetcode.com/problemset/all/?difficulty=Easy&status=Todo&listId=79h8rn6) 1157 | 1158 | - [[Skill Assessment]](https://assessment.datacamp.com/python-programming) 1159 | - [[Solve Python \| HackerRank]](https://www.hackerrank.com/domains/python?filters%5Bsubdomains%5D%5B%5D=py-introduction) 1160 | - [[Solve Python \| HackerRank]](https://www.hackerrank.com/domains/python?filters%5Bsubdomains%5D%5B%5D=py-introduction&filters%5Bstatus%5D%5B%5D=unsolved) 1161 | 1162 | ### **Project examples for Junior** 1163 | 1164 | - [[(1) Python]](https://www.reddit.com/r/Python/) 1165 | 1166 | - [[10 Data Science Projects -- Dataquest]](https://www.dataquest.io/blog/10-data-science-projects-join/) 1167 | 1168 | - [[10 Great Programming Projects to Improve Your Resume and Learn to Program]](https://levelup.gitconnected.com/10-great-programming-projects-to-improve-your-resume-and-learn-to-program-74b14d3e9e16) 1169 | 1170 | - [[13 Project Ideas for Intermediate Python Developers -- Real Python]](https://realpython.com/intermediate-python-project-ideas/) 1171 | 1172 | - [[25 Exciting Python Project Ideas & Topics for Beginners 2020 \| upGrad blog]](https://www.upgrad.com/blog/python-projects-ideas-topics-beginners/) 1173 | 1174 | - [[5 Cool Python Project Ideas For Inspiration \| Hacker Noon]](https://hackernoon.com/5-cool-python-project-ideas-for-inspiration-sr44367v) 1175 | 1176 | - [[6 Python Projects For Beginners \| Codementor]](https://www.codementor.io/@ilyaas97/6-python-projects-for-beginners-yn3va03fs) 1177 | 1178 | - [[Building a Simple Chatbot from Scratch in Python (using NLTK)]](https://medium.com/analytics-vidhya/building-a-simple-chatbot-in-python-using-nltk-7c8c8215ac6e) 1179 | 1180 | - [[CodeProject - For those who code]](https://www.codeproject.com/) 1181 | 1182 | - [[karan/Projects: A list of practical projects that anyone can solve in any programming language.]](https://github.com/karan/Projects) 1183 | 1184 | - [[latest Python project topics and ideas with source code for final year projects - kashipara]](https://www.kashipara.com/project/topics/latest_python-project-ideas_12) 1185 | 1186 | - [[Machine Learning Projects \| Data Science Projects with Example]](https://www.analyticsvidhya.com/blog/2018/05/24-ultimate-data-science-projects-to-boost-your-knowledge-and-skills/) 1187 | 1188 | - [[Martyr2\'s Mega Project Ideas List! - Share Your Project \| Dream.In.Code]](https://www.dreamincode.net/forums/topic/78802-martyr2s-mega-project-ideas-list/) 1189 | 1190 | - [[Neural Network Embedding Recommendation System \| Kaggle]](https://www.kaggle.com/willkoehrsen/neural-network-embedding-recommendation-system) 1191 | 1192 | - [[Python Project Ideas for Final Year, Python Project Help]](https://instanteduhelp.com/python-project-ideas-final-year-engineering-students/) 1193 | 1194 | - [[Top Python Projects \| Easy, Intermediate And Advanced Python Projects \| Edureka]](https://www.edureka.co/blog/python-projects/) 1195 | 1196 | - [[Tutorial 2 - Making it interesting --- BeeWare 0.3.0 documentation]](https://docs.beeware.org/en/latest/tutorial/tutorial-2.html) 1197 | 1198 | ### **Puzzles** 1199 | 1200 | - [[About - Project Euler]](https://projecteuler.net/index.php) 1201 | 1202 | - [[CodeKata]](http://codekata.com/) 1203 | 1204 | - [[Coderbyte \| Code Screening, Challenges, & Interview Prep]](https://www.coderbyte.com/) 1205 | 1206 | - [[Problem set @ Timus Online Judge]](https://acm.timus.ru/problemset.aspx) 1207 | 1208 | - [[Programming Praxis \| A collection of etudes, updated weekly, for the education and enjoyment of the savvy programmer]](https://programmingpraxis.com/) 1209 | 1210 | - [[The Daily WTF: Curious Perversions in Information Technology]](http://thedailywtf.com/series/bring-your-own-code) 1211 | 1212 | - [[Задачи для программистов, ответы на задания различной сложности]](https://tproger.ru/category/problems/) 1213 | 1214 | - [[Мозговой фитнес. Актуальные задачи для прокачки программистских скиллов]](https://javarush.ru/groups/posts/2664-mozgovoy-fitnes-aktualjhnihe-zadachi-dlja-prokachki-programmistskikh-skillov?utm_source=eSputnik-$email-digest&utm_medium=email&utm_campaign=$email-digest-36-active-user&utm_content=788825223) 1215 | 1216 | - [[Решаем задачи на одномерные и двумерные массивы]](https://javarush.ru/groups/posts/2669-reshaem-zadachi-na-odnomernihe-i-dvumernihe-massivih?utm_source=eSputnik-$email-digest&utm_medium=email&utm_campaign=$email-digest-37-active-user&utm_content=788825223) 1217 | 1218 | ### **Developer\'s Tools** 1219 | 1220 | - [[(Tutorial) Web Scraping With Python: Beautiful Soup - DataCamp]](https://www.datacamp.com/community/tutorials/amazon-web-scraping-using-beautifulsoup?utm_medium=email&utm_source=customerio&utm_campaign=dc_insights&utm_term=blog) 1221 | 1222 | - [[\| fastai]](https://docs.fast.ai/) 1223 | 1224 | - [[10 Best CSS Frameworks For Frontend Developers in 2020 - GeeksforGeeks]](https://www.geeksforgeeks.org/10-best-css-frameworks-for-frontend-developers-in-2020/) 1225 | 1226 | - [[10 лучших материалов для изучения Django]](https://proglib.io/p/django-sources/) 1227 | 1228 | - [[20 short tutorials all data scientists should read (and practice) - Data Science Central]](https://www.datasciencecentral.com/profiles/blogs/17-short-tutorials-all-data-scientists-should-read-and-practice) 1229 | 1230 | - [[7 Steps to Mastering Machine Learning With Python]](https://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html/2) 1231 | 1232 | - [[A Beginner's Introduction to Python Web Frameworks : Python]](https://www.reddit.com/r/Python/comments/cr3l7z/a_beginners_introduction_to_python_web_frameworks/) 1233 | 1234 | - [[A successful Git branching model » nvie.com]](https://nvie.com/posts/a-successful-git-branching-model/) 1235 | 1236 | - [[ageitgey/face\_recognition: The world\'s simplest facial recognition api for Python and the command line]](https://github.com/ageitgey/face_recognition) 1237 | 1238 | - [[Algorithms - Algorithmia]](https://algorithmia.com/algorithms) 1239 | 1240 | - [[All Tools --- PyViz 0.0.1 documentation]](https://pyviz.org/tools.html) 1241 | 1242 | - [[An Intro to Git and GitHub for Beginners (Tutorial)]](https://product.hubspot.com/blog/git-and-github-tutorial-for-beginners) 1243 | 1244 | - [[Apache против Nginx: практические соображения]](https://www.codeflow.site/ru/article/apache-vs-nginx-practical-considerations) 1245 | 1246 | - [[ARCore - Google Developers]](https://developers.google.com/ar/) 1247 | 1248 | - [[Are you still using Pandas for big data? - Towards Data Science]](https://towardsdatascience.com/are-you-still-using-pandas-for-big-data-12788018ba1a) 1249 | 1250 | - [[ArtVk & Bugtrack: Задачи по базам данных. Решение задач по SQL \[1\]]](https://artvk.blogspot.com/2014/01/sql.html) 1251 | 1252 | - [[Awesome Python \| LibHunt]](https://python.libhunt.com/) 1253 | 1254 | - [[awesome-vscode \| 🎨 A curated list of delightful VS Code packages and resources.]](https://viatsko.github.io/awesome-vscode/#python) 1255 | 1256 | - [[Azure Machine Learning SDK for Python - Azure Machine Learning Python \| Microsoft Docs]](https://docs.microsoft.com/uk-ua/python/api/overview/azure/ml/?view=azure-ml-py) 1257 | 1258 | - [[Batch convert images to PDF with Python by using Pillow or img2pdf \| Solarian Programmer]](https://solarianprogrammer.com/2019/06/12/batch-convert-images-to-pdf-with-python-using-pillow-or-img2pdf/) 1259 | 1260 | - [[benfred/py-spy: Sampling profiler for Python programs]](https://github.com/benfred/py-spy) 1261 | 1262 | - [[Better Code Hub]](https://bettercodehub.com/repositories) 1263 | 1264 | - [[Big data sets available for free - Data Science Central]](https://www.datasciencecentral.com/profiles/blogs/big-data-sets-available-for-free) 1265 | 1266 | - [[Build and deploy your first machine learning web app]](https://towardsdatascience.com/build-and-deploy-your-first-machine-learning-web-app-e020db344a99) 1267 | 1268 | - [[Build and run a Python app in a container]](https://code.visualstudio.com/docs/containers/quickstart-python) 1269 | 1270 | - [[Building A Blog Application With Django \| Django Central]](https://djangocentral.com/building-a-blog-application-with-django/) 1271 | 1272 | - [[Building a Microservice in Python - Sonu Sharma - Medium]](https://medium.com/@sonusharma.mnnit/building-a-microservice-in-python-ff009da83dac) 1273 | 1274 | - [[Caffe \| Installation]](http://caffe.berkeleyvision.org/installation.html) 1275 | 1276 | - [[CAL board - Agile board - Jira]](https://kuprienko.atlassian.net/jira/software/projects/CAL/boards/3) 1277 | 1278 | - [[Catalog of Patterns of Enterprise Application Architecture]](https://martinfowler.com/eaaCatalog/index.html) 1279 | 1280 | - [[Chapter 1. Getting to know Redis - Redis in Action]](https://livebook.manning.com/book/redis-in-action/chapter-1/9) 1281 | 1282 | - [[Choosing the right estimator --- scikit-learn 0.22.2 documentation]](https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html) 1283 | 1284 | - [[CLI Setup - NativeScript Docs]](https://docs.nativescript.org/angular/start/quick-setup) 1285 | 1286 | - [[Cloud Shell]](https://ssh.cloud.google.com/cloudshell/editor?project&pli=1&shellonly=true) 1287 | 1288 | - [[Codacy Onboarding]](https://app.codacy.com/welcome/organizations) 1289 | 1290 | - [[Codecov]](https://codecov.io/gh) 1291 | 1292 | - [[CodePen: Build, Test, and Discover Front-end Code.]](https://codepen.io/) 1293 | 1294 | - [[colorama · PyPI]](https://pypi.org/project/colorama/) 1295 | 1296 | - [[Conda Cheat Sheet - Kapeli]](https://kapeli.com/cheat_sheets/Conda.docset/Contents/Resources/Documents/index) 1297 | 1298 | - [[Control Room \| Home \| Automation Anywhere]](https://community.cloud.automationanywhere.digital/#/home) 1299 | 1300 | - [[Coveralls - Test Coverage History & Statistics]](https://coveralls.io/repos/new) 1301 | 1302 | - [[CRAN - Package rattle]](https://cran.r-project.org/web/packages/rattle/index.html) 1303 | 1304 | - [[create-graphql-server --- instantly scaffold a GraphQL server]](https://blog.hichroma.com/create-graphql-server-instantly-scaffold-a-graphql-server-1ebad1e71840) 1305 | 1306 | - [[Dash Bootstrap Components]](https://dash-bootstrap-components.opensource.faculty.ai/) 1307 | 1308 | - [[Dash for Beginners - DataCamp]](https://www.datacamp.com/community/tutorials/learn-build-dash-python) 1309 | 1310 | - [[Dashboard : skromnitsky : PythonAnywhere]](https://www.pythonanywhere.com/user/skromnitsky/) 1311 | 1312 | - [[Dashboard · WakaTime]](https://wakatime.com/dashboard) 1313 | 1314 | - [[Dask + Numba for Efficient In-Memory Model Scoring - Capital One Tech - Medium]](https://medium.com/capital-one-tech/dask-numba-for-efficient-in-memory-model-scoring-dfc9b68ba6ce) 1315 | 1316 | - [[Data Science with Python: Intro to Data Visualization with Matplotlib]](https://towardsdatascience.com/data-science-with-python-intro-to-data-visualization-and-matplotlib-5f799b7c6d82) 1317 | 1318 | - [[Data: Querying, Analyzing and Downloading: The GDELT Project]](https://www.gdeltproject.org/data.html#rawdatafiles) 1319 | 1320 | - [[Dataset Search]](https://datasetsearch.research.google.com/) 1321 | 1322 | - [[Datasets for Data Mining and Data Science]](https://www.kdnuggets.com/datasets/index.html) 1323 | 1324 | - [[Django ORM. Добавим сахарку / Хабр]](https://habr.com/ru/post/263821/) 1325 | 1326 | - [[Django в примерах · GitBook (Legacy)]](https://legacy.gitbook.com/book/pocoz/django-v-primerah/details) 1327 | 1328 | - [[Django на русском]](https://djbook.ru/) 1329 | 1330 | - [[Django Руководство часть 11: Разворачивание сайта на сервере - Изучение веб-разработки \| MDN]](https://developer.mozilla.org/ru/docs/Learn/Server-side/Django/%D0%A0%D0%B0%D0%B7%D0%B2%D0%BE%D1%80%D0%B0%D1%87%D0%B8%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5) 1331 | 1332 | - [[Download · Bootstrap]](https://getbootstrap.com/docs/4.4/getting-started/download/) 1333 | 1334 | - [[Download All Free Textbooks from Springer using Python]](https://towardsdatascience.com/download-all-free-textbooks-from-springer-using-python-bd0b10e0ccc) 1335 | 1336 | - [[Download jQuery \| jQuery]](https://jquery.com/download/) 1337 | 1338 | - [[Download RequireJS]](https://requirejs.org/docs/download.html) 1339 | 1340 | - [[ekzhu/datasketch: MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble]](https://github.com/ekzhu/datasketch) 1341 | 1342 | - [[emmetio/emmet-atom: Emmet support for Atom]](https://github.com/emmetio/emmet-atom#readme) 1343 | 1344 | - [[Erotemic/ubelt: A Python utility belt containing simple tools, a stdlib like feel, and extra batteries. Hashing, Caching, Timing, Progress, and more made easy!]](https://github.com/Erotemic/ubelt?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more) 1345 | 1346 | - [[Exploring your data with just 1 line of Python - Towards Data Science]](https://towardsdatascience.com/exploring-your-data-with-just-1-line-of-python-4b35ce21a82d) 1347 | 1348 | - [[eyaltrabelsi/pandas-log: The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs]](https://github.com/eyaltrabelsi/pandas-log) 1349 | 1350 | - [[facebook/create-react-app: Set up a modern web app by running one command.]](https://github.com/facebook/create-react-app) 1351 | 1352 | - [[facebookresearch/detectron2: Detectron2 is FAIR\'s next-generation platform for object detection and segmentation.]](https://github.com/facebookresearch/detectron2) 1353 | 1354 | - [[facebookresearch/DrQA: Reading Wikipedia to Answer Open-Domain Questions]](https://github.com/facebookresearch/DrQA) 1355 | 1356 | - [[facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.]](https://github.com/facebookresearch/faiss) 1357 | 1358 | - [[facebookresearch/fastMRI: A large-scale dataset of both raw MRI measurements and clinical MRI images]](https://github.com/facebookresearch/fastMRI) 1359 | 1360 | - [[facebookresearch/habitat-api: A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.]](https://github.com/facebookresearch/habitat-api) 1361 | 1362 | - [[facebookresearch/LAMA: LAnguage Model Analysis]](https://github.com/facebookresearch/LAMA) 1363 | 1364 | - [[facebookresearch/nevergrad: A Python toolbox for performing gradient-free optimization]](https://github.com/facebookresearch/nevergrad) 1365 | 1366 | - [[facebookresearch/pytext: A natural language modeling framework based on PyTorch]](https://github.com/facebookresearch/pytext) 1367 | 1368 | - [[facebookresearch/pytorch\_GAN\_zoo: A mix of GAN implementations including progressive growing]](https://github.com/facebookresearch/pytorch_GAN_zoo) 1369 | 1370 | - [[facebookresearch/VideoPose3D: Efficient 3D human pose estimation in video using 2D keypoint trajectories]](https://github.com/facebookresearch/VideoPose3D) 1371 | 1372 | - [[facebookresearch/visdom: A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.]](https://github.com/facebookresearch/visdom) 1373 | 1374 | - [[facebookresearch/vizseq: An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)]](https://github.com/facebookresearch/vizseq) 1375 | 1376 | - [[Getting started --- Flexx 1.0 documentation]](https://flexx.readthedocs.io/en/latest/start.html) 1377 | 1378 | - [[Getting started --- HiPlot 0.1.9.post2 documentation]](https://facebookresearch.github.io/hiplot/getting_started.html) 1379 | 1380 | - [[Getting started --- pandas 1.0.3 documentation]](https://pandas.pydata.org/pandas-docs/stable/getting_started/index.html) 1381 | 1382 | - [[Getting started --- SciPy.org]](https://www.scipy.org/getting-started.html) 1383 | 1384 | - [[Getting started with Django \| Django]](https://www.djangoproject.com/start/) 1385 | 1386 | - [[Getting started with PyMC3 --- PyMC3 3.8 documentation]](https://docs.pymc.io/notebooks/getting_started.html) 1387 | 1388 | - [[github/hub: A command-line tool that makes git easier to use with GitHub.]](https://github.com/github/hub) 1389 | 1390 | - [[Graphene-Python]](https://docs.graphene-python.org/en/latest/quickstart/) 1391 | 1392 | - [[great-expectations/great\_expectations: Always know what to expect from your data.]](https://github.com/great-expectations/great_expectations) 1393 | 1394 | - [[gto76/python-cheatsheet: Comprehensive Python Cheatsheet]](https://github.com/gto76/python-cheatsheet) 1395 | 1396 | - [[GUI (графический интерфейс пользователя) \| Python 3 для начинающих и чайников]](https://pythonworld.ru/gui) 1397 | 1398 | - [[GuiProgramming - Python Wiki]](https://wiki.python.org/moin/GuiProgramming) 1399 | 1400 | - [[Hello, App Center]](https://appcenter.ms/apps) 1401 | 1402 | - [[How to deploy ML models using Flask + Gunicorn + Nginx + Docker]](https://towardsdatascience.com/how-to-deploy-ml-models-using-flask-gunicorn-nginx-docker-9b32055b3d0) 1403 | 1404 | - [[How to Get a Job with Python - Towards Data Science]](https://towardsdatascience.com/how-to-get-a-job-with-python-575f1b79fa11) 1405 | 1406 | - [[How to Install and Run Hadoop on Windows for Beginners - Data Science Central]](https://www.datasciencecentral.com/profiles/blogs/how-to-install-and-run-hadoop-on-windows-for-beginners) 1407 | 1408 | - [[How to Update All Python Packages \| ActiveState]](https://www.activestate.com/resources/quick-reads/how-to-update-all-python-packages/) 1409 | 1410 | - [[Installation --- Kivy 1.11.1 documentation]](https://kivy.org/doc/stable/gettingstarted/installation.html) 1411 | 1412 | - [[Installation --- pyglet v1.5.0]](https://pyglet.readthedocs.io/en/latest/programming_guide/installation.html) 1413 | 1414 | - [[Integrating Summernote WYSIWYG Editor in Django \| Django Central]](https://djangocentral.com/integrating-summernote-in-django/) 1415 | 1416 | - [[interpretml/interpret: Fit interpretable machine learning models. Explain blackbox machine learning.]](https://github.com/interpretml/interpret) 1417 | 1418 | - [[Introducing Bamboolib --- a GUI for Pandas - Towards Data Science]](https://towardsdatascience.com/introducing-bamboolib-a-gui-for-pandas-4f6c091089e3) 1419 | 1420 | - [[Introducing GitFlow]](https://datasift.github.io/gitflow/IntroducingGitFlow.html) 1421 | 1422 | - [[ipinfo.io/json]](http://ipinfo.io/json) 1423 | 1424 | - [[ironmussa/Optimus at develop-3.0]](https://github.com/ironmussa/Optimus/tree/develop-3.0) 1425 | 1426 | - [[japronto/1\_hello.md at master · squeaky-pl/japronto]](https://github.com/squeaky-pl/japronto/blob/master/tutorial/1_hello.md) 1427 | 1428 | - [[jaybaird/python-bloomfilter: Scalable Bloom Filter implemented in Python]](https://github.com/jaybaird/python-bloomfilter) 1429 | 1430 | - [[jazzband/pip-tools: A set of tools to keep your pinned Python dependencies fresh.]](https://github.com/jazzband/pip-tools) 1431 | 1432 | - [[Jetware - aise / tensorflow18\_keras21\_python36\_cpu\_notebook - 180509 appliance]](http://jetware.io/appliances/aise/tensorflow18_keras21_python36_cpu_notebook) 1433 | 1434 | - [[jiffyclub/snakeviz: An in-browser Python profile viewer]](https://github.com/jiffyclub/snakeviz) 1435 | 1436 | - [[JS Bin - Collaborative JavaScript Debugging]](http://jsbin.com/?html,output) 1437 | 1438 | - [[Keras Cheat Sheet: Neural Networks in Python - DataCamp]](https://www.datacamp.com/community/blog/keras-cheat-sheet) 1439 | 1440 | - [[keyboard-shortcuts-windows.pdf]](https://code.visualstudio.com/shortcuts/keyboard-shortcuts-windows.pdf) 1441 | 1442 | - [[knockknock/README.md at master · huggingface/knockknock]](https://github.com/huggingface/knockknock/blob/master/README.md/) 1443 | 1444 | - [[Laravel Nova - Beautifully-designed administration panel for Laravel]](https://nova.laravel.com/) 1445 | 1446 | - [[localhost:54321/callback?code=b7e3a07c1695c5b58b6d]](http://localhost:54321/callback?code=b7e3a07c1695c5b58b6d) 1447 | 1448 | - [[Machine Learning]](http://www.machinelearning.ru/wiki/index.php?title=%D0%97%D0%B0%D0%B3%D0%BB%D0%B0%D0%B2%D0%BD%D0%B0%D1%8F_%D1%81%D1%82%D1%80%D0%B0%D0%BD%D0%B8%D1%86%D0%B0) 1449 | 1450 | - [[main]](https://repo.anaconda.com/pkgs/main/) 1451 | 1452 | - [[marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier]](https://github.com/marcotcr/lime) 1453 | 1454 | - [[MIT App Inventor 2]](http://ai2.appinventor.mit.edu/?locale=ru&repo=http%3A%2F%2Fappinventor.mit.edu%2Fyrtoolkit%2Fyr%2FaiaFiles%2FmoodCounter%2Fyr_mood_starter.asc#6567580202041344) 1455 | 1456 | - [[More Itertools --- more-itertools 8.2.0 documentation]](https://more-itertools.readthedocs.io/en/stable/index.html) 1457 | 1458 | - [[mouradmourafiq/pandas-summary: An extension to pandas dataframes describe function.]](https://github.com/mouradmourafiq/pandas-summary) 1459 | 1460 | - [[Native mobile apps with Angular, Vue.js, TypeScript, JavaScript - NativeScript]](https://www.nativescript.org/) 1461 | 1462 | - [[nicolaskruchten/pivottable: Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag\'n\'drop.]](https://github.com/nicolaskruchten/pivottable) 1463 | 1464 | - [[NLTK Data]](http://www.nltk.org/nltk_data/) 1465 | 1466 | - [[NoSQL Databases List by Hosting Data - Updated 2020]](https://hostingdata.co.uk/nosql-database/) 1467 | 1468 | - [[Numba: A High Performance Python Compiler]](http://numba.pydata.org/) 1469 | 1470 | - [[Numpy and Scipy Documentation --- Numpy and Scipy documentation]](https://docs.scipy.org/doc/) 1471 | 1472 | - [[NumPy в Python. Часть 1 / Хабр]](https://habr.com/ru/post/352678/) 1473 | 1474 | - [[Optimus/README.md at master · ironmussa/Optimus]](https://github.com/ironmussa/Optimus/blob/master/README.md) 1475 | 1476 | - [[Over 150 of the Best Machine Learning, NLP, and Python Tutorials I've Found]](https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78) 1477 | 1478 | - [[Overview --- Matplotlib 3.2.1 documentation]](https://matplotlib.org/contents.html) 1479 | 1480 | - [[Overview --- NumPy v1.19.dev0 Manual]](https://numpy.org/devdocs/) 1481 | 1482 | - [[PageSpeed Insights]](https://developers.google.com/speed/pagespeed/insights/?hl=uk&url=https%3A%2F%2Fkuprienko.info%2F&tab=desktop) 1483 | 1484 | - [[pallets/werkzeug: The comprehensive WSGI web application library.]](https://github.com/pallets/werkzeug) 1485 | 1486 | - [[Pivot Demo From Local CSV]](https://pivottable.js.org/examples/local.html) 1487 | 1488 | - [[PivotTable.js]](https://pivottable.js.org/examples/index.html) 1489 | 1490 | - [[Plotting Google Sheets data in Python with Folium - Towards Data Science]](https://towardsdatascience.com/plotting-crowdsourced-data-with-google-sheets-and-folium-6c9edbef2bb8) 1491 | 1492 | - [[Plugin Status · WakaTime]](https://wakatime.com/plugins/status?onboarding=true) 1493 | 1494 | - [[Polymer Project]](https://www.polymer-project.org/) 1495 | 1496 | - [[Popper - Tooltip & Popover Positioning Engine]](https://popper.js.org/) 1497 | 1498 | - [[PostgreSQL : Документация : Компания Postgres Professional]](https://postgrespro.ru/docs/postgresql) 1499 | 1500 | - [[Prisma - Database tools for modern application development]](https://www.prisma.io/) 1501 | 1502 | - [[Projects - Home]](https://dev.azure.com/kupriienko/) 1503 | 1504 | - [[pydqc/README.md at master · SauceCat/pydqc]](https://github.com/SauceCat/pydqc/blob/master/README.md) 1505 | 1506 | - [[PyQt5 book with a foreword by the creator of PyQt]](https://build-system.fman.io/pyqt5-book) 1507 | 1508 | - [[Pythia's Documentation --- Pythia 0.3 documentation]](https://learnpythia.readthedocs.io/en/latest/) 1509 | 1510 | - [[Python 3.8 documentation --- DevDocs]](https://devdocs.io/python~3.8/) 1511 | 1512 | - [[Python Extension Packages for Windows - Christoph Gohlke]](https://www.lfd.uci.edu/~gohlke/pythonlibs/) 1513 | 1514 | - [[Python Frameworks Comparison: How to Choose the Best for Web Development]](https://medium.com/better-programming/python-frameworks-comparison-how-to-choose-the-best-for-web-development-9603107ec905) 1515 | 1516 | - [[Python в три ручья: работаем с потоками (часть 1) \| GeekBrains - образовательный портал]](https://geekbrains.ru/posts/python_threading_part1) 1517 | 1518 | - [[pytorch3d/INSTALL.md at master · facebookresearch/pytorch3d]](https://github.com/facebookresearch/pytorch3d/blob/master/INSTALL.md) 1519 | 1520 | - [[Qt Designer Download for Windows and Mac]](https://build-system.fman.io/qt-designer-download) 1521 | 1522 | - [[Quick Start \| GatsbyJS]](https://www.gatsbyjs.org/docs/quick-start/) 1523 | 1524 | - [[Quick Start · gulp.js]](https://gulpjs.com/docs/en/getting-started/quick-start) 1525 | 1526 | - [[Quickstart for Python/WSGI applications --- uWSGI 2.0 documentation]](https://uwsgi-docs.readthedocs.io/en/latest/WSGIquickstart.html) 1527 | 1528 | - [[Quickstart tutorial --- NumPy v1.19.dev0 Manual]](https://numpy.org/devdocs/user/quickstart.html) 1529 | 1530 | - [[R Packages - RStudio]](https://rstudio.com/products/rpackages/) 1531 | 1532 | - [[RaRe-Technologies/bounter: Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.]](https://github.com/RaRe-Technologies/bounter) 1533 | 1534 | - [[React -- JavaScript-бібліотека для створення користувацьких інтерфейсів]](https://uk.reactjs.org/) 1535 | 1536 | - [[Roundup of Python NLP Libraries - NLP-FOR-HACKERS]](https://nlpforhackers.io/libraries/) 1537 | 1538 | - [[samuelhwilliams/Eel: A little Python library for making simple Electron-like HTML/JS GUI apps]](https://github.com/samuelhwilliams/Eel?utm_source=mybridge&utm_medium=blog&utm_campaign=read_more) 1539 | 1540 | - [[SciPy --- SciPy v1.4.1 Reference Guide]](https://docs.scipy.org/doc/scipy/reference/) 1541 | 1542 | - [[SciPy.org --- SciPy.org]](https://www.scipy.org/) 1543 | 1544 | - [[Settings \| Account · WakaTime]](https://wakatime.com/settings/account) 1545 | 1546 | - [[shaypal5/cachier: Persistent, stale-free, local and cross-machine caching for Python functions.]](https://github.com/shaypal5/cachier) 1547 | 1548 | - [[sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics]](https://github.com/sindresorhus/awesome) 1549 | 1550 | - [[skromnitsky/My\_Projects]](https://github.com/skromnitsky/My_Projects) 1551 | 1552 | - [[Speech Recognition - Speech to Text in Python using Google API, Wit.AI, IBM, CMUSphinx]](https://www.pragnakalp.com/speech-recognition-speech-to-text-python-using-google-api-wit-ai-ibm-cmusphinx/) 1553 | 1554 | - [[Speed Up your Algorithms Part 2--- Numba - Towards Data Science]](https://towardsdatascience.com/speed-up-your-algorithms-part-2-numba-293e554c5cc1) 1555 | 1556 | - [[Speeding up your Algorithms Part 4--- Dask - Towards Data Science]](https://towardsdatascience.com/speeding-up-your-algorithms-part-4-dask-7c6ed79994ef) 1557 | 1558 | - [[Stop Worrying and Create your Deep Learning Server in 30 minutes]](https://towardsdatascience.com/stop-worrying-and-create-your-deep-learning-server-in-30-minutes-bb5bd956b8de) 1559 | 1560 | - [[streamlit/streamlit: Streamlit --- The fastest way to build custom ML tools]](https://github.com/streamlit/streamlit) 1561 | 1562 | - [[Superbird11/ranges: Continuous Range, RangeSet, and RangeDict data structures for Python]](https://github.com/Superbird11/ranges) 1563 | 1564 | - [[The 30 Best Python Libraries and Packages for Beginners]](https://www.ubuntupit.com/best-python-libraries-and-packages-for-beginners/) 1565 | 1566 | - [[The Basics of Data Visualisation with Python - Towards Data Science]](https://towardsdatascience.com/the-basics-of-data-visualisation-with-python-23188aa9fc1a) 1567 | 1568 | - [[The Big Bad NLP Database: Access Nearly 300 Datasets]](https://www.kdnuggets.com/2020/02/big-bad-nlp-database.html) 1569 | 1570 | - [[The Coolest Data Science And Machine Learning Tool Companies Of The 2020 Big Data 100]](https://www.crn.com/slide-shows/cloud/the-coolest-data-science-and-machine-learning-tool-companies-of-the-2020-big-data-100) 1571 | 1572 | - [[The Most Underrated Python Packages - Towards Data Science]](https://towardsdatascience.com/the-most-underrated-python-packages-e22bf6049b5e) 1573 | 1574 | - [[The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks]](https://www.kdnuggets.com/2020/04/super-duper-nlp-repo.html) 1575 | 1576 | - [[Tkinter. Программирование GUI на Python. Курс]](https://younglinux.info/tkinter.php) 1577 | 1578 | - [[Top Python Libraries Used In Data Science - Towards Data Science]](https://towardsdatascience.com/top-python-libraries-used-in-data-science-a58e90f1b4ba) 1579 | 1580 | - [[tqdm/tqdm: A Fast, Extensible Progress Bar for Python and CLI]](https://github.com/tqdm/tqdm) 1581 | 1582 | - [[Travis CI]](https://travis-ci.org/account/repositories) 1583 | 1584 | - [[Travis CI - Test and Deploy with Confidence]](https://travis-ci.com/dashboard) 1585 | 1586 | - [[Turn Python Scripts into Beautiful ML Tools - Towards Data Science]](https://towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace) 1587 | 1588 | - [[Tutorial --- ZODB documentation]](http://www.zodb.org/en/latest/tutorial.html#installation) 1589 | 1590 | - [[Tutorial: Web Scraping in R with rvest -- Dataquest]](https://www.dataquest.io/blog/web-scraping-in-r-rvest/) 1591 | 1592 | - [[ucg8j/awesome-dash: A curated list of awesome Dash (plotly) resources]](https://github.com/ucg8j/awesome-dash) 1593 | 1594 | - [[umdjs/umd: UMD (Universal Module Definition) patterns for JavaScript modules that work everywhere.]](https://github.com/umdjs/umd) 1595 | 1596 | - [[Understanding the GitHub flow · GitHub Guides]](https://guides.github.com/introduction/flow/) 1597 | 1598 | - [[Untitled Diagram - diagrams.net]](https://app.diagrams.net/) 1599 | 1600 | - [[Untitled Document - Creately]](https://app.creately.com/diagram/7J75Ibgfcn3/edit) 1601 | 1602 | - [[Usage · s0md3v/XSStrike Wiki]](https://github.com/s0md3v/XSStrike/wiki/Usage) 1603 | 1604 | - [[User\'s Guide --- Matplotlib 3.2.1 documentation]](https://matplotlib.org/users/index.html) 1605 | 1606 | - [[vaexio/vaex: Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀]](https://github.com/vaexio/vaex) 1607 | 1608 | - [[vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources]](https://github.com/vinta/awesome-python) 1609 | 1610 | - [[vstinner/pyperf: Toolkit to run Python benchmarks]](https://github.com/vstinner/pyperf) 1611 | 1612 | - [[vue.js]](file:///E:\Downloads\vue.js) 1613 | 1614 | - [[vue.min.js]](file:///E:\Downloads\vue.min.js) 1615 | 1616 | - [[W3Schools Online Web Tutorials]](https://www.w3schools.com/) 1617 | 1618 | - [[WAVE Report of Мої книги \| KUPRIENKO]](https://wave.webaim.org/report#/kuprienko.info) 1619 | 1620 | - [[Web technology for developers \| MDN]](https://developer.mozilla.org/en-US/docs/Web) 1621 | 1622 | - [[WebAssembly]](https://webassembly.org/) 1623 | 1624 | - [[Website Style Guide Resources]](http://styleguides.io/) 1625 | 1626 | - [[Welcome to pyjanitor's documentation! --- pyjanitor documentation]](https://pyjanitor.readthedocs.io/) 1627 | 1628 | - [[Welcome to SymPy's documentation! --- SymPy 1.5.1 documentation]](https://docs.sympy.org/latest/index.html) 1629 | 1630 | - [[What is Azure Machine Learning \| Microsoft Docs]](https://docs.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-ml) 1631 | 1632 | - [[Which movie should I watch? - Nishant Sahoo - Medium]](https://medium.com/@nishantsahoo/which-movie-should-i-watch-5c83a3c0f5b1) 1633 | 1634 | - [[Wolfram Client Library for Python --- Wolfram Client Library for Python 1.1.0 documentation]](https://reference.wolfram.com/language/WolframClientForPython/) 1635 | 1636 | - [[Wolfram\|Alpha: Computational Intelligence]](https://www.wolframalpha.com/) 1637 | 1638 | - [[Yii PHP Framework]](https://www.yiiframework.com/) 1639 | 1640 | - [[Zsailer/pandas\_flavor: The easy way to write your own flavor of Pandas]](https://github.com/Zsailer/pandas_flavor) 1641 | 1642 | - [[Введение в потоки в Python - Еще один блог веб разработчика]](https://webdevblog.ru/vvedenie-v-potoki-v-python/) 1643 | 1644 | - [[Введение в создание веб-приложений на Python]](https://proglib.io/p/python-web-development/) 1645 | 1646 | - [[Вступ · Django Girls Tutorial]](https://tutorial.djangogirls.org/uk/) 1647 | 1648 | - [[Глава 1: Создание первого приложения · Django в примерах]](https://pocoz.gitbooks.io/django-v-primerah/content/) 1649 | 1650 | - [[Данные важнее, чем модели. Как выглядят эффективные процессы в Data Science \| DOU]](https://dou.ua/lenta/articles/data-scientists-workflow/) 1651 | 1652 | - [[Искусственная нейронная сеть с нуля на Python c библиотекой NumPy]](https://neurohive.io/ru/tutorial/nejronnaja-set-na-numpy/) 1653 | 1654 | - [[Как написать цепляющую вакансию на ДОУ \| DOU]](https://dou.ua/forums/topic/30281/?from=comment-digest_bc&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments#1830892) 1655 | 1656 | - [[Как оформить профиль на GitHub так, чтобы он работал при поиске работы \| DOU]](https://dou.ua/lenta/articles/github-profile-for-beginners/?from=comment-digest_bc&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments#1846411) 1657 | 1658 | - [[Как получить 100/100 в Google Page Speed Test Tool? --- SEO компания UAWEB]](https://uaweb.ua/publication/google_page_speed_test_tool.html) 1659 | 1660 | - [[Как установить Django, Nginx и Gunicorn на виртуальный сервер]](https://1cloud.ru/help/linux/ustanovka-django-s-postgresql-nginx-i-gunicorn-na-ubuntu-18-04) 1661 | 1662 | - [[Краткое руководство по Dash --- Python веб-фреймворк для создания дэшбордов. Installation + Dash Layout / Хабр]](https://habr.com/ru/post/431754/) 1663 | 1664 | - [[Курс «Hacking PostgreSQL» : Компания Postgres Professional]](https://postgrespro.ru/education/courses/hacking) 1665 | 1666 | - [[Лучшие датасеты для машинного обучения и анализа данных]](https://tproger.ru/translations/the-best-datasets-for-machine-learning-and-data-science/) 1667 | 1668 | - [[Мега-Учебник Flask, Часть 1: «Привет, Мир!» / Хабр]](https://habr.com/ru/post/193242/) 1669 | 1670 | - [[Многопоточность в Python]](https://bablofil.ru/python-multithreading/) 1671 | 1672 | - [[Многопоточность в Python. Библиотеки threading и multiprocessing.]](http://cs.mipt.ru/advanced_python/lessons/lab6.html) 1673 | 1674 | - [[Многопоточность на примерах - модуль threading]](https://python-scripts.com/threading) 1675 | 1676 | - [[Настраиваем Django + virtualenv + nginx + gunicorn + PostgreSQL + memcached + letsencrypt на Ubuntu 16.04 \| Python 3 для начинающих и чайников]](https://pythonworld.ru/web/django-ubuntu1604.html) 1677 | 1678 | - [[Настройка Django с Postgres, Nginx и Gunicorn в Ubuntu 18.04 \| DigitalOcean]](https://www.digitalocean.com/community/tutorials/how-to-set-up-django-with-postgres-nginx-and-gunicorn-on-ubuntu-18-04-ru) 1679 | 1680 | - [[Настройка веб-сервера для Django с nginx и uWSGI - Как стать программистом]](http://itman.in/django-webserver-nginx-uwsgi/) 1681 | 1682 | - [[Обработка естественного языка: с чего начать и что изучать дальше]](https://proglib.io/p/how-to-start-nlp/) 1683 | 1684 | - [[Объектно-ориентированное Программирование в Python]](https://python-scripts.com/object-oriented-programming-in-python#attributes) 1685 | 1686 | - [[Описания паттернов проектирования. Паттерны проектирования. Шаблоны проектирования на Design pattern ru]](http://design-pattern.ru/patterns/) 1687 | 1688 | - [[Перші кроки в NLP: розглядаємо Python-бібліотеку TensorFlow та нейронні мережі в реальному завданні \| DOU]](https://dou.ua/lenta/articles/first-steps-in-nlp-tensorflow/?from=comment-digest_post&utm_source=transactional&utm_medium=email&utm_campaign=digest-comments) 1689 | 1690 | - [[Почему CSS Grid лучше, чем фреймворк Bootstrap?]](https://proglib.io/p/css-grid-vs-bootstrap/) 1691 | 1692 | - [[Почему Python хорош для Data Science и разработки приложений]](https://tproger.ru/articles/python-for-software-development-and-data-science/) 1693 | 1694 | - [[Предсказываем будущее с помощью библиотеки Facebook Prophet / Блог компании Open Data Science / Хабр]](https://habr.com/ru/company/ods/blog/323730/) 1695 | 1696 | - [[Примеры использования Python-библиотеки NumPy \| Записки программиста]](https://eax.me/python-numpy/) 1697 | 1698 | - [[Скринкаст по Git]](https://learn.javascript.ru/screencast/git) 1699 | 1700 | - [[Создаем простой калькулятор в PyQt5]](https://python-scripts.com/pyqt5-calculator) 1701 | 1702 | - [[Создание графического интерфейса на Python 3 с Tkinter \~ PythonRu]](https://pythonru.com/uroki/obuchenie-python-gui-uroki-po-tkinter) 1703 | 1704 | - [[Учимся писать многопоточные и многопроцессные приложения на Python / Хабр]](https://habr.com/ru/post/149420/) 1705 | 1706 | - [[Фичи Django ORM, о которых вы не знали]](https://tproger.ru/translations/django-orm-tips/) 1707 | 1708 | - [[Что такое NGINX. NGINX простыми словами]](https://www.dmosk.ru/terminus.php?object=nginx) 1709 | 1710 | ### **Articles about Software Engineering** 1711 | 1712 | - [[10 Data Structure, Algorithms, and Programming Courses to Crack Any Coding Interview]](https://medium.com/hackernoon/10-data-structure-algorithms-and-programming-courses-to-crack-any-coding-interview-e1c50b30b927) 1713 | 1714 | - [[10 Programming Best Practices to Name Variables, Methods, Classes and Packages]](https://javarevisited.blogspot.com/2014/10/10-java-best-practices-to-name-variables-methods-classes-packages.html#axzz5Bwn8nSNW) 1715 | 1716 | - [[10 советов для обучающихся программированию]](https://proglib.io/p/learn-to-code/) 1717 | 1718 | - [[10 структур данных, которые вы должны знать (+видео и задания)]](https://proglib.io/p/data-structures/) 1719 | 1720 | - [[11 must-have алгоритмов машинного обучения для Data Scientist]](https://proglib.io/p/11-ml-algorithms/) 1721 | 1722 | - [[26 полезных возможностей Python: букварь разработки от А до Z]](https://proglib.io/p/a-z-python/) 1723 | 1724 | - [[27 шпаргалок по машинному обучению и Python в 2017]](https://proglib.io/p/ds-cheatsheets/) 1725 | 1726 | - [[28 cайтов, на которых можно порешать задачи по программированию]](https://tproger.ru/digest/competitive-programming-practice/) 1727 | 1728 | - [[35 лучших сайтов для самообразования]](https://proglib.io/p/35-websites-to-learn/) 1729 | 1730 | - [[4. More Control Flow Tools --- Python 3.8.2 documentation]](https://docs.python.org/3/tutorial/controlflow.html#defining-functions) 1731 | 1732 | - [[5 популярных IDE для программирования на C++]](https://tproger.ru/digest/5-cpp-ide/) 1733 | 1734 | - [[5 сайтов для оттачивания навыков написания SQL-запросов]](https://proglib.io/p/sql-practice-sites/) 1735 | 1736 | - [[58 подкастов для программистов]](https://proglib.io/p/it-podcasts/) 1737 | 1738 | - [[7 эффективных способов зарабатывать на искусственном интеллекте]](https://proglib.io/p/make-money-with-ai/) 1739 | 1740 | - [[7. Input and Output --- Python 3.8.2 documentation]](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files) 1741 | 1742 | - [[9 новых технологий, которые вы можете освоить за лето и стать ценнее на рынке труда]](https://tproger.ru/digest/9-new-technologies/) 1743 | 1744 | - [[9. Classes --- Python 3.6.10 documentation]](https://docs.python.org/3.6/tutorial/classes.html) 1745 | 1746 | - [[Advanced Python made easy - Quick Code - Medium]](https://medium.com/quick-code/advanced-python-made-easy-eece317334fa) 1747 | 1748 | - [[AlgoList - алгоритмы, методы, исходники]](http://algolist.ru/) 1749 | 1750 | - [[Built-in Functions --- Python 3.8.2 documentation]](https://docs.python.org/3/library/functions.html) 1751 | 1752 | - [[Decorators --- Python 3 Patterns, Recipes and Idioms]](https://python-3-patterns-idioms-test.readthedocs.io/en/latest/PythonDecorators.html) 1753 | 1754 | - [[Django или Ruby on Rails: какой фреймворк выбрать?]](https://tproger.ru/translations/django-or-ruby-on-rails/) 1755 | 1756 | - [[DOU Проектор: Homemade Machine Learning --- репозиторий для изучения ML на Python с Jupyter-демо \| DOU]](https://dou.ua/lenta/articles/dou-projector-homemade-machine-learning/) 1757 | 1758 | - [[DOU Проектор: репозиторий на GitHub --- шпаргалка для изучения Python \| DOU]](https://dou.ua/lenta/articles/dou-projector-playground-for-learning-python/) 1759 | 1760 | - [[ES6: прокси изнутри --- CSS-LIVE]](https://css-live.ru/articles/es6-proksi-iznutri.html) 1761 | 1762 | - [[FeatureSelector: отбор признаков для машинного обучения на Python]](https://proglib.io/p/feature-selector/) 1763 | 1764 | - [[Functional Programming HOWTO --- Python 3.8.2 documentation]](https://docs.python.org/3/howto/functional.html) 1765 | 1766 | - [[functools --- Higher-order functions and operations on callable objects --- Python 3.8.2 documentation]](https://docs.python.org/3/library/functools.html) 1767 | 1768 | - [[Haskell и хождение в базы данных с помощью HDBC \| Записки программиста]](https://eax.me/haskell-hdbc/) 1769 | 1770 | - [[Home - Quora]](https://www.quora.com/) 1771 | 1772 | - [[HTML / CSS Basics]](https://slides.com/sergeyshalyapin/html_css_basics#/11) 1773 | 1774 | - [[Imperative vs Declarative Programming]](https://tylermcginnis.com/imperative-vs-declarative-programming/) 1775 | 1776 | - [[Lecture 01. Motivation, What is a DBMS? (2015/01/20) (CS 186, Spring 2015, UC Berkeley) - YouTube]](https://www.youtube.com/watch?v=IZmWm9YP_kg&list=PLItyOfErSadfnXtWkFX5yA7PQ8j8ZpORE) 1777 | 1778 | - [[Master the JavaScript Interview: What is Functional Programming?]](https://medium.com/javascript-scene/master-the-javascript-interview-what-is-functional-programming-7f218c68b3a0) 1779 | 1780 | - [[melanierichards/just-build-websites: Some ideas for websites you can build!]](https://github.com/melanierichards/just-build-websites) 1781 | 1782 | - [[miguelgrinberg.com]](https://blog.miguelgrinberg.com/) 1783 | 1784 | - [[NumPy \| Python 3 для начинающих и чайников]](https://pythonworld.ru/numpy) 1785 | 1786 | - [[Object Detection: как написать Hello World приложениe \| DOU]](https://dou.ua/lenta/articles/object-detection/) 1787 | 1788 | - [[Papers]](http://dsrg.pdos.csail.mit.edu/papers/) 1789 | 1790 | - [[PHP 25 лет: почему он именно такой и что с ним будет --- рассказывает создатель языка]](https://tproger.ru/video/25-years-of-php/?autoplay=1) 1791 | 1792 | - [[Prototype-based programming - Wikipedia]](https://en.wikipedia.org/wiki/Prototype-based_programming) 1793 | 1794 | - [[Python and Data Science Tutorial in Visual Studio Code]](https://code.visualstudio.com/docs/python/data-science-tutorial) 1795 | 1796 | - [[Python Tutorial: Class vs. Instance Attributes]](https://www.python-course.eu/python3_class_and_instance_attributes.php) 1797 | 1798 | - [[Python Tutorial: Object Oriented Programming]](https://www.python-course.eu/python3_object_oriented_programming.php) 1799 | 1800 | - [[Python Tutorial: Properties vs. getters and setters]](https://www.python-course.eu/python3_properties.php) 1801 | 1802 | - [[Python для Data Science: 8 понятий, которые важно помнить]](https://proglib.io/p/python-data-science/) 1803 | 1804 | - [[Python/Объектно-ориентированное программирование на Python --- Викиучебник]](https://ru.wikibooks.org/wiki/Python/%D0%9E%D0%B1%D1%8A%D0%B5%D0%BA%D1%82%D0%BD%D0%BE-%D0%BE%D1%80%D0%B8%D0%B5%D0%BD%D1%82%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%BD%D0%BE%D0%B5_%D0%BF%D1%80%D0%BE%D0%B3%D1%80%D0%B0%D0%BC%D0%BC%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5_%D0%BD%D0%B0_Python) 1805 | 1806 | - [[Sorting HOW TO --- Python 3.8.2 documentation]](https://docs.python.org/3/howto/sorting.html) 1807 | 1808 | - [[SQL против NoSQL на примере MySQL и MongoDB]](https://tproger.ru/translations/sql-vs-nosql/) 1809 | 1810 | - [[SQLite, MySQL и PostgreSQL: сравниваем популярные реляционные СУБД]](https://tproger.ru/translations/sqlite-mysql-postgresql-comparison/) 1811 | 1812 | - [[swirl: Learn R, in R.]](https://swirlstats.com/) 1813 | 1814 | - [[The Best Format to Save Pandas Data - Towards Data Science]](https://towardsdatascience.com/the-best-format-to-save-pandas-data-414dca023e0d) 1815 | 1816 | - [[Time Management Skills and Training from MindTools.com]](https://www.mindtools.com/pages/main/newMN_HTE.htm) 1817 | 1818 | - [[Top 15 Python Libraries for Data Science in 2017 - ActiveWizards --- AI & ML for startups - Medium]](https://medium.com/activewizards-machine-learning-company/top-15-python-libraries-for-data-science-in-in-2017-ab61b4f9b4a7) 1819 | 1820 | - [[Top 8 Python Libraries for Data Science, Machine Learning, and Artificial Intelligence]](https://javarevisited.blogspot.com/2018/10/top-8-python-libraries-for-data-science-machine-learning.html) 1821 | 1822 | - [[Top Ranked Articles - CodeProject]](https://www.codeproject.com/script/Articles/TopArticles.aspx?ta_so=5) 1823 | 1824 | - [[Tproger]](https://tproger.ru/) 1825 | 1826 | - [[Understanding JavaScript's async await]](https://ponyfoo.com/articles/understanding-javascript-async-await) 1827 | 1828 | - [[What happens if you write a TCP stack in Python? - Julia Evans]](https://jvns.ca/blog/2014/08/12/what-happens-if-you-write-a-tcp-stack-in-python/) 1829 | 1830 | - [[Write Professional Unit Tests in Python]](https://code.tutsplus.com/tutorials/write-professional-unit-tests-in-python--cms-25835) 1831 | 1832 | - [[Алгоритм сортировки Timsort / Блог компании Инфопульс Украина / Хабр]](https://habr.com/ru/company/infopulse/blog/133303/) 1833 | 1834 | - [[Алгоритмы и структуры данных --- всё по этой теме для программистов]](https://tproger.ru/tag/algos-and-data-structs/) 1835 | 1836 | - [[Алгоритмы и структуры данных: развернутый видеокурс]](https://proglib.io/p/data-structure-algorithms/) 1837 | 1838 | - [[Бесплатные материалы для программистов]](https://tproger.ru/articles/free-programming-books/) 1839 | 1840 | - [[Библиотека Numpy. Полезные инструменты]](https://devpractice.ru/numpy-useful-functions/) 1841 | 1842 | - [[Большая подборка материалов по машинному обучению: книги, видеокурсы, онлайн-курсы]](https://proglib.io/p/learning-ml/) 1843 | 1844 | - [[Большая подборка ресурсов для изучения Android-разработки]](https://tproger.ru/digest/master-android-development/) 1845 | 1846 | - [[Быстрый старт в Java: от установки необходимого софта до первой программы]](https://tproger.ru/articles/start-writing-in-java/) 1847 | 1848 | - [[Введение в глубинное обучение]](https://proglib.io/p/intro-to-deep-learning/) 1849 | 1850 | - [[Визуальное пояснение JOIN\'ов на SQL :: Блог Вастрик.ру]](https://vas3k.ru/blog/97/) 1851 | 1852 | - [[Где программисту-новичку найти упражнения и идеи для проектов?]](https://tproger.ru/translations/where-to-find-ideas/) 1853 | 1854 | - [[Еженедельная подборка свежих и самых значимых новостей o Python]](https://pythondigest.ru/) 1855 | 1856 | - [[Зачем аналитикам данных знать SQL]](https://tproger.ru/blogs/why-data-analysts-need-sql/) 1857 | 1858 | - [[Из армии в IT или как я стал С\# разработчиком с помощью JavaRush]](https://javarush.ru/groups/posts/2466-iz-armii-v-it-ili-kak-ja-stal-dotnet-razrabotchikom-s-pomojshjhju-javarush) 1859 | 1860 | - [[Изобретаем JPEG / Хабр]](https://habr.com/ru/post/206264/) 1861 | 1862 | - [[Изучаем алгоритмы: полезные книги, веб-сайты, онлайн-курсы и видеоматериалы]](https://proglib.io/p/awesome-algorithms/) 1863 | 1864 | - [[Как выучить TypeScript за 2 дня и почему стоит начать прямо сейчас: опыт автора Tproger]](https://tproger.ru/articles/how-to-learn-typescript/) 1865 | 1866 | - [[Как начать разрабатывать под Android]](https://tproger.ru/translations/how-to-start-android/) 1867 | 1868 | - [[Как понять, что у тебя глубокие знания в JavaScript]](https://proglib.io/p/deep-js/) 1869 | 1870 | - [[Как попасть в IT после 30]](https://proglib.io/p/it-after-thirty/) 1871 | 1872 | - [[Как правильно искать и читать научные статьи?]](https://proglib.io/p/research-papers/) 1873 | 1874 | - [[Как разобраться в Computer Science самостоятельно]](https://tproger.ru/curriculum/computer-science-step-by-step/) 1875 | 1876 | - [[Как стать Junior-разработчиком и устроиться на работу за 4 месяца]](https://proglib.io/p/junior-developer/) 1877 | 1878 | - [[Книги по программированию на Java. Книги для Джава программиста]](https://tproger.ru/books/java-free-advanced-books/) 1879 | 1880 | - [[Курс Harvard CS50 - Лекция: Библиотеки Си]](https://javarush.ru/quests/lectures/questharvardcs50.level01.lecture13) 1881 | 1882 | - [[Меняем схему базы данных в PostrgreSQL, не останавливая работу приложения]](https://tproger.ru/translations/postgres-ddl-without-downtime/) 1883 | 1884 | - [[Начало работы с PostgreSQL \| Записки программиста]](https://eax.me/postgresql-install/) 1885 | 1886 | - [[Нові записи на тему «Python» --- Стрічка \| DOU]](https://dou.ua/lenta/tags/Python/) 1887 | 1888 | - [[Нюансы перехода на Kotlin, или Руководство для Android-разработчика по предательству Java]](https://tproger.ru/articles/switch-from-java-to-kotlin/) 1889 | 1890 | - [[Объяснение взаимодействия методов (для новичков)]](https://javarush.ru/groups/posts/2659-prosteyshee-obhhjasnenie-vzaimodeystvija-metodov-dlja-novichkov?utm_source=eSputnik-$email-digest&utm_medium=email&utm_campaign=$email-digest-36-active-user&utm_content=788825223) 1891 | 1892 | - [[Основные команды SQL, которые должен знать каждый программист]](https://tproger.ru/translations/sql-recap/) 1893 | 1894 | - [[От новичка до профи в машинном обучении за 3 месяца]](https://proglib.io/p/ml-3months/) 1895 | 1896 | - [[Паттерны проектирования на Python]](https://refactoring.guru/ru/design-patterns/python) 1897 | 1898 | - [[Подборка бесплатных курсов с Coursera, которые прокачают ваш скилл в программировании]](https://tproger.ru/digest/it-programming-courses/) 1899 | 1900 | - [[Подборка книг для начинающих Java-программистов]](https://tproger.ru/books/java-free-beginners-books/) 1901 | 1902 | - [[Подборка книг по программированию на Python (Питон)]](https://tproger.ru/books/free-python-books/) 1903 | 1904 | - [[Подборка материалов для изучения баз данных и SQL]](https://proglib.io/p/sql-digest/) 1905 | 1906 | - [[Подборка материалов для начинающего Enterprise разработчика]](https://tproger.ru/digest/enterprise-junior/) 1907 | 1908 | - [[Подборка материалов по нейронным сетям]](https://proglib.io/p/neural-networks-digest/) 1909 | 1910 | - [[Подборка фильмов для айтишников: что посмотреть после работы]](https://tproger.ru/digest/films/) 1911 | 1912 | - [[Почему многие программисты считают PHP плохим языком? --- отвечают эксперты]](https://tproger.ru/experts/why-php-is-considered-bad/) 1913 | 1914 | - [[Привет, весна: пишем Hello World на Spring MVC]](https://tproger.ru/translations/hello-world-spring/) 1915 | 1916 | - [[Программа минимум: что должен знать начинающий C\# программист]](https://tproger.ru/translations/csharp-basic-skills/) 1917 | 1918 | - [[Программисты, учите статистику или я вас поубиваю!]](https://tproger.ru/translations/programmers-need-to-learn-statistics-or-i-will-kill-them-all/) 1919 | 1920 | - [[Работа с данными по-новому: Pandas вместо SQL]](https://tproger.ru/translations/rewrite-sql-queries-in-pandas/) 1921 | 1922 | - [[Работа с документацией в Python: поиск информации и соглашения]](https://proglib.io/p/python-docs/) 1923 | 1924 | - [[Разбираемся в алгоритмах и структурах данных. Доступно и понятно \| DOU]](https://dou.ua/lenta/articles/what-you-should-know-about-algorithms/) 1925 | 1926 | - [[Руководство по Java 9: компиляция и запуск проекта]](https://tproger.ru/translations/java-9-guide-compile-run/) 1927 | 1928 | - [[Руководство по изучению языка R и его использование в Data Science]](https://proglib.io/p/data-science-with-r/) 1929 | 1930 | - [[Руководство по магическим методам в Питоне / Хабр]](https://m.habr.com/ru/post/186608/) 1931 | 1932 | - [[Стоит ли становиться разработчиком мобильных приложений?]](https://proglib.io/p/do-you-need-to-be-mobile-developer/) 1933 | 1934 | - [[Тест: какой язык программирования вам стоит выбрать для изучения?]](https://tproger.ru/quiz/programming-language-selector/) 1935 | 1936 | - [[ТОП-15 трюков в Python 3, делающих код понятнее и быстрее]](https://proglib.io/p/python-tricks/) 1937 | 1938 | - [[Топ-25 самых рекомендуемых книг по программированию]](https://tproger.ru/books/the-25-most-recommended-programming-books-of-all-time/) 1939 | 1940 | - [[Функциональное программирование для Android-разработчика. Часть первая]](https://tproger.ru/translations/functional-android-1/) 1941 | 1942 | - [[Хочу научиться программировать на PHP. С чего начать?]](https://tproger.ru/curriculum/php-beginner/) 1943 | 1944 | - [[Что лучше изучить: JavaScript стандарта ES5, стандарта ES6 или TypeScript?]](https://tproger.ru/translations/es5-es6-or-typescript/) 1945 | 1946 | - [[Что такое Kotlin и с чем его едят: обучающее руководство и сравнение нового языка Android-разработки с Java]](https://tproger.ru/translations/kotlin-vs-java-android/) 1947 | --------------------------------------------------------------------------------