├── README.md └── img.png /README.md: -------------------------------------------------------------------------------- 1 | # 最全python数据分析资料汇总 2 | 3 | 含python、爬虫、数据库、大数据、可视化、机器学习、tableau、统计学、地理信息等 4 | 5 | 6 | 7 | **目录** 8 | 9 | - [一、Python基础](#%E4%B8%80python%E5%9F%BA%E7%A1%80) 10 | - [二、Python资源](#%E4%BA%8Cpython%E8%B5%84%E6%BA%90) 11 | - [三、Python爬虫](#%E4%B8%89python%E7%88%AC%E8%99%AB) 12 | - [四、Python可视化](#%E5%9B%9Bpython%E5%8F%AF%E8%A7%86%E5%8C%96) 13 | - [五、python数据分析](#%E4%BA%94python%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90) 14 | - [六、python机器学习](#%E5%85%ADpython%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0) 15 | - [七、数据库](#%E4%B8%83%E6%95%B0%E6%8D%AE%E5%BA%93) 16 | - [八、Tableau](#%E5%85%ABtableau) 17 | - [九、大数据](#%E4%B9%9D%E5%A4%A7%E6%95%B0%E6%8D%AE) 18 | - [十、数理统计知识](#%E5%8D%81%E6%95%B0%E7%90%86%E7%BB%9F%E8%AE%A1%E7%9F%A5%E8%AF%86) 19 | - [十一、量化](#%E5%8D%81%E4%B8%80%E9%87%8F%E5%8C%96) 20 | - [十一、数据集/接口](#%E5%8D%81%E4%B8%80%E6%95%B0%E6%8D%AE%E9%9B%86%E6%8E%A5%E5%8F%A3) 21 | - [十二、地理信息分析](#%E5%8D%81%E4%BA%8C%E5%9C%B0%E7%90%86%E4%BF%A1%E6%81%AF%E5%88%86%E6%9E%90) 22 | 23 | --- 24 | 25 | ## 一、Python基础 26 | 27 | - [Python简明教程（Python3）](https://bop.mol.uno/) 28 | - [Python3.7.4官方中文文档](https://docs.python.org/zh-cn/3/tutorial/index.html) 29 | - [Python标准库中文版](https://docs.python.org/zh-cn/3/library/index.html#library-index) 30 | - [廖雪峰 Python 3 中文教程](http://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000) 31 | - [Python 3.3 官方教程中文版](http://www.pythondoc.com/pythontutorial3/index.html) 32 | - [Python3 Cookbook 中文版](https://python3-cookbook.readthedocs.io/zh_CN/latest/) 33 | - [IPython CookBook 英文版](https://ipython-books.github.io/) 34 | - [笨办法学 Python](http://old.sebug.net/paper/books/LearnPythonTheHardWay/) ([PDF](http://liam0205.me/attachment/Python/PyHardWay/Learn_Python_The_Hard_Way_zh-cn.pdf) [EPUB](https://www.gitbook.com/download/epub/book/wizardforcel/lpthw)) 35 | - [ Think Python 2e 最新版中文](http://codingpy.com/books/thinkpython2/) 36 | - [Python 核心编程 第二版 中文](https://wizardforcel.gitbooks.io/core-python-2e/content/) 37 | - [菜鸟教程 Python3基础](https://www.runoob.com/python3/python3-tutorial.html) 38 | - [W3cschool Python3基础](https://www.w3cschool.cn/python3/) 39 | - [Python最佳实践指南](http://pythonguidecn.readthedocs.io/zh/latest/) 40 | - [Python 精要教程](https://www.gitbook.com/book/wizardforcel/python-essential-tutorial/details) 41 | - [Python进阶 中文版](https://docs.pythontab.com/interpy/) 42 | - [中文 Python 笔记](https://github.com/lijin-THU/notes-python) 43 | - [莫烦python教程](https://morvanzhou.github.io/) 44 | - [The Hitchhiker's Guide to Python](https://docs.python-guide.org/) 45 | - [草根学 Python](https://github.com/TwoWater/Python) 46 | - [Python从入门到精通教程 视频（600集）](https://www.bilibili.com/video/av14184325/) 47 | - [Kaggle Python基础学习（英文）](https://www.kaggle.com/learn/python) 48 | - [李笑来-自学是门手艺-python教程](https://github.com/selfteaching/the-craft-of-selfteaching) 49 | 50 | ## 二、Python资源 51 | 52 | - [Python中文开发者社区](https://www.pythontab.com/) 53 | - [Python 资源大全中文版](https://zhuanlan.zhihu.com/p/52957088) 54 | - [Python-100天从新手到大师（github）](https://github.com/jackfrued/Python-100-Days) 55 | - [GitHub上入门开发项目汇总（含Python）](https://github.com/521xueweihan/HelloGitHub) 56 | - [Python面试题-1](https://github.com/taizilongxu/interview_python) 57 | - [Python面试题-2](https://github.com/kenwoodjw/python_interview_question) 58 | - [Python面试题-3](https://github.com/JushuangQiao/Python-Offer) 59 | - [Awesome Python Applications 酷炫Python小应用](https://github.com/mahmoud/awesome-python-applications) 60 | - [Python艺术二维码生成器](https://github.com/sylnsfar/qrcode) 61 | - [Python有趣脚本集合](https://github.com/injetlee/Python) 62 | - [Python数据结构和算法（英文）](https://github.com/keon/algorithms) 63 | - [Awesome Python Applications](https://github.com/mahmoud/awesome-python-applications) 64 | - [Python常见算法刷题](https://github.com/apachecn/Interview/tree/master/docs/Algorithm/Leetcode/Python) 65 | - [Python 第三方库whl文件下载](https://www.lfd.uci.edu/~gohlke/pythonlibs/#) 66 | 67 | ## 三、Python爬虫 68 | 69 | - [awesome-spider 爬虫集合](https://github.com/facert/awesome-spider) 70 | - [python模拟登陆&爬虫](https://github.com/CriseLYJ/awesome-python-login-model) 71 | - [Python爬虫代理IP池(proxy pool)](https://github.com/jhao104/proxy_pool) 72 | - [Python入门网络爬虫之精华版](https://github.com/lining0806/PythonSpiderNotes) 73 | - [Python3网络爬虫实战](https://github.com/Jack-Cherish/python-spider) 74 | - [有趣的Python爬虫和Python数据分析小项目](https://github.com/Alfred1984/interesting-python) 75 | - [Python入门爬虫](https://github.com/lining0806/PythonSpiderNotes) 76 | - [Requests 英文文档](https://2.python-requests.org/en/master/) 77 | - [Requests 中文文档](https://2.python-requests.org//zh_CN/latest/) 78 | - [Scrapy 英文文档](https://docs.scrapy.org/en/latest/) 79 | - [Scrapy 中文文档](https://scrapy-chs.readthedocs.io/zh_CN/0.24/) 80 | - [Pyspider 英文文档](http://docs.pyspider.org/en/latest/) 81 | - [BeautifulSoup中文文档](https://www.crummy.com/software/BeautifulSoup/bs4/doc.zh/) 82 | - [BeautifulSoup英文文档](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) 83 | - [Xpath教程](https://www.runoob.com/xpath/xpath-tutorial.html) 84 | - [selenium中文文档](https://selenium-python-zh.readthedocs.io/en/latest/) 85 | 86 | ## 四、Python可视化 87 | 88 | - [seaborn 英文文档](http://seaborn.pydata.org/) 89 | - [seaborn 中文文档](https://seaborn.apachecn.org/#/) 90 | - [matplotlib 英文文档](https://matplotlib.org/) 91 | - [matplotlib 中文文档（官方）](https://www.matplotlib.org.cn/) 92 | - [matplotlib 中文文档](https://wizardforcel.gitbooks.io/matplotlib-user-guide/content/) （非官方） 93 | - [pyecharts 中文文档（官方）](https://pyecharts.org/#/zh-cn/intro) 94 | - [plotly绘图官方教程 英文文档](https://plot.ly/python/) 95 | - [bokeh动态可视化教程 英文文档](https://bokeh.pydata.org/en/latest/) 96 | 97 | ## 五、python数据分析 98 | 99 | - [pandas 英文文档](http://pandas.pydata.org/) 100 | - [pandas 中文文档（官方）](https://www.pypandas.cn/) 101 | - [pandas 中文文档（非官方）](http://pandas.apachecn.org/) 102 | - [利用python进行数据分析 第二版（中文）](https://github.com/apachecn/pyda-2e-zh) 103 | - [numpy 英文文档](http://www.numpy.org/) 104 | - [numpy中文文档（官方）](https://www.numpy.org.cn/) 105 | - [numpy 中文文档（非官方）](http://numpy.apachecn.org/) 106 | - [numpy 100 练习题](https://github.com/rougier/numpy-100) 107 | - [python科学计算笔记（英文）](https://github.com/jrjohansson/scientific-python-lectures) 108 | - [数据科学速查表（英文）](https://github.com/FavioVazquez/ds-cheatsheets) 109 | - [python data science handbook（python数据科学手册）](https://jakevdp.github.io/PythonDataScienceHandbook/) 110 | - [data science python notebook（数据科学python笔记）](https://github.com/donnemartin/data-science-ipython-notebooks) 111 | 112 | ## 六、python机器学习 113 | 114 | - [AI Learning 机器学习实战 中文（GitHub 15000星）](https://github.com/apachecn/AiLearning) 115 | - [data-science-ipython-notebooks](https://github.com/donnemartin/data-science-ipython-notebooks) 116 | - [Kaggle 机器学习基础学习](https://www.kaggle.com/learn/overview) 117 | - [动手学深度学习](http://zh.d2l.ai/index.html) 118 | - [scikit-learn 英文文档](https://scikit-learn.org/stable/) 119 | - [scikit-learn 中文文档](http://sklearn.apachecn.org/#/) 120 | - [xgboost 中文文档](https://xgboost.apachecn.org/#/) 121 | - [pytorch中文网](https://www.pytorchtutorial.com/) 122 | - [machine learning mastery 博客（英文）](https://machinelearningmastery.com/) 123 | - [机器学习笔记 英文](https://github.com/ageron/handson-ml) 124 | - [面向机器学习的特征工程](http://fe4ml.apachecn.org/#/) 125 | - [keras英文文档](https://keras.io/) 126 | - [keras中文文档](https://keras.io/zh/) 127 | - [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) 128 | - [面试-机器学习算法试题及讲解（中文）](https://github.com/imhuay/Algorithm_Interview_Notes-Chinese) 129 | - [机器学习100天练习（英文）](https://github.com/Avik-Jain/100-Days-Of-ML-Code) 130 | - [机器学习100天练习（中文）](https://github.com/MLEveryday/100-Days-Of-ML-Code) 131 | - [吴恩达-机器学习 视频（b站）](https://www.bilibili.com/video/av9912938?from=search&seid=11914534456869662293) 132 | - [机器学习算法基础 视频（b站）](https://www.bilibili.com/video/av37947862?from=search&seid=11914534456869662293) 133 | - [吴恩达-神经网络和深度学习 视频（b站）](https://www.bilibili.com/video/av34661735?from=search&seid=9109291334133521229) 134 | - [李飞飞-深度学习与计算机视觉 视频（b站）](https://www.bilibili.com/video/av17741845?from=search&seid=9109291334133521229) 135 | - [kaggle等数据比赛TOP解决方案集合](https://github.com/Smilexuhc/Data-Competition-TopSolution) 136 | - [机器学习·深度学习·NLP 面试基础知识](https://github.com/NLP-LOVE/ML-NLP) 137 | 138 | ## **七、数据库** 139 | 140 | - [21分钟MySQL入门教程](http://www.cnblogs.com/mr-wid/archive/2013/05/09/3068229.html) 141 | - [W3cschool SQL基础教程](http://www.w3school.com.cn/sql/index.asp) 142 | - [菜鸟教程 SQL基础](https://www.runoob.com/sql/sql-intro.html) 143 | - [易百教程 SQL基础](https://www.yiibai.com/sql/) 144 | - [廖雪峰SQL教程](https://www.liaoxuefeng.com/wiki/1177760294764384) 145 | - [SQL在线手册](http://www.esk365.com/zxsc/datebase/sql/) 146 | - [SQL 在线速查手册](https://www.w3xue.com/manual/sql/) 147 | - [PL/SQL教程](https://www.oraclejsq.com/plsql/010200446.html) 148 | - [PL/SQL中文教程](https://plsql-tutorial.com/zh-CN/) 149 | - [Oracle SQL Developer 入门](https://www.oracle.com/ocom/groups/public/@otn/documents/webcontent/229078_zhs.htm) 150 | - [MySQL 5.1参考中文手册](http://download.nust.na/pub6/mysql/doc/refman/5.1/zh/index.html) 151 | - [SQL 手册（github ）](https://github.com/apache/incubator-doris/wiki/Sql-Reference) 152 | - [Oracle SQL 语言文档](https://www.oracle.com/technetwork/cn/database/database-technologies/sql/documentation/index.html) 153 | - [SQL reference英文](http://doris.apache.org/guides/sql_reference.html) 154 | - [MySQL索引背后的数据结构及算法原理](http://blog.codinglabs.org/articles/theory-of-mysql-index.html) 155 | - [PostgreSQL 9.5.3 中文文档](http://www.postgres.cn/docs/9.5/index.html) 156 | - [NoSQL数据库笔谈](http://old.sebug.net/paper/databases/nosql/Nosql.html) 157 | - [The Little MongoDB Book](https://github.com/justinyhuang/the-little-mongodb-book-cn/blob/master/mongodb.md) 158 | - [The Little Redis Book](https://github.com/JasonLai256/the-little-redis-book/blob/master/cn/redis.md) 159 | - [Apache Spark 设计与实现](https://github.com/JerryLead/SparkInternals/tree/master/markdown) 160 | - [Kaggle SQL学习（英文）](https://www.kaggle.com/learn/intro-to-sql) 161 | 162 | ## 八、Tableau 163 | 164 | - [Tableau官方学习平台（含视频、文档）](https://www.tableau.com/zh-cn/learn) 165 | - [Tableau社区](https://public.tableau.com/s/?_ga=2.71823507.1676038997.1560873286-1514687749.1560873286) 166 | - [Tableau作品精选Viz](https://public.tableau.com/s/gallery) 167 | - [Tableau教程_w3cschool](https://www.w3cschool.cn/tableau/) 168 | - [Tableau教程- W3xue](https://www.w3xue.com/soft/tableau/) 169 | - [Tableau中文手册](http://www.kubiji.cn/book/tableau/) 170 | - [Tableau官网视频培训教材 英文版（b站）](https://www.bilibili.com/video/av17433768?from=search&seid=18433794970164707199) 171 | - [Tableau官网视频培训教材 中文版（b站）](https://www.bilibili.com/video/av57762618?from=search&seid=18433794970164707199) 172 | - [Tableau 14天入门训练营 （b站）](https://www.bilibili.com/video/av57932052?from=search&seid=18433794970164707199) 173 | - [Tableau商业智能与可视化应用实战（b站）](https://www.bilibili.com/video/av45663036?from=search&seid=18433794970164707199) 174 | - [如何学习tableau？](https://www.zhihu.com/question/29478254) 175 | - [MakeOver Monday(Tablea作品集)](http://www.doc88.com/p-9969131399830.html) 176 | - [Tableau制作小案例](https://mp.weixin.qq.com/s/UlB_D6UMgshQ4jquG_UTuA)（优阅达） 177 | - [iconfont（图标库，可用于dash board制作）](https://www.iconfont.cn/?spm=a313x.7781069.1998910419.d4d0a486a) 178 | 179 | ## 九、大数据 180 | 181 | - [spark 中文文档](http://spark.apachecn.org/#/) 182 | - [kafka 中文文档](http://kafka.apachecn.org/) 183 | - [hbase 中文文档](http://hbase.apachecn.org/#/) 184 | - [flink官网](https://flink.apache.org/zh/) 185 | - [flink 中文文档](https://flink.apachecn.org/docs/1.7-SNAPSHOT/#/) 186 | - [Hive 英文文档](https://hive.apache.org/) 187 | - [Hive 中文教程](https://www.docs4dev.com/docs/zh/apache-hive/3.1.1/reference/Home.html) 188 | - [Spark 编程指南简体中文版](https://aiyanbo.gitbooks.io/spark-programming-guide-zh-cn/content/) 189 | - [Scala 英文文档](https://docs.scala-lang.org/) 190 | - [Scala 中文文档](https://docs.scala-lang.org/zh-cn/overviews/) 191 | - [Scala Tutorial 中文版](https://www.scala-lang.org/docu/files/ScalaTutorial-zh_CN.pdf) 192 | - [Scala 菜鸟教程](https://www.runoob.com/scala/scala-tutorial.html) 193 | - [Scala w3cschool教程](https://www.w3cschool.cn/scala/) 194 | 195 | ## 十、数理统计知识 196 | 197 | - [麻省理工公开课-线性代数](http://open.163.com/special/opencourse/daishu.html) 198 | - [可汗学院公开课：线性代数](http://open.163.com/special/Khan/linearalgebra.html) 199 | - [同济大学公开课：线性代数](http://open.163.com/movie/2019/4/9/M/MEC1UPOHH_MEC1USS9M.html) 200 | - [山东大学MOOC-线性代数](https://www.icourse163.org/course/sdu-55001) 201 | - [线性代数讲义 - 华东师范大学数学系](http://math.ecnu.edu.cn/~hryuan/preprint/la.pdf) 202 | - [线性代数-北京大学出版社](http://www.pup.cn/ztpage/gzgz/PDF/book/高职数学/13.线性代数.pdf) 203 | - [线性代数-维基百科](https://link.juejin.im/?target=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FLinear_algebra) 204 | - [MIT-18.06-线性代数-完整笔记](https://github.com/apachecn/18.06-linalg-notes) 205 | - [两小时讲完线性代数](https://www.bilibili.com/video/av7564112?from=search&seid=10663434405036315716) 206 | - [矩阵编码：线性代数在计算机科学中的应用](http://codingthematrix.com/) 207 | - [线性代数应用-戴维森学院](https://www.edx.org/course/applications-linear-algebra-part-1-davidsonx-d003x-1) 208 | - [可汗学院公开课：统计学](http://open.163.com/special/Khan/khstatistics.html) 209 | - [加利福尼亚大学伯克利分校公开课：统计学](http://open.163.com/movie/2017/5/0/8/MCJQECVBF_MCJSVSQ08.html) 210 | - [浙江大学公开课：概率论与数理统计](http://open.163.com/movie/2019/4/R/6/MEC1U20OT_MEC1U8MR6.html) 211 | - [可汗学院公开课：概率](http://open.163.com/special/Khan/probability.html) 212 | - [概率论与数理统计-重庆大学公开课](http://www.xuetangx.com/courses/course-v1:CQU+MATH20041X+2018_T2/about) 213 | - [概率论与数理统计-北京大学公开课](https://www.bilibili.com/video/av34021718/) 214 | - [概率论与数理统计-中科大公开课](https://www.bilibili.com/video/av3781284/) 215 | - [商务与经济统计-北师大公开课](http://www.icourse163.org/course/BNU-1003604001) 216 | - [哈佛大学统计学110讲稿](http://projects.iq.harvard.edu/stat110/youtube) 217 | - [概率论和统计学](https://www.khanacademy.org/math/probability)-Khan Academy 218 | - [麻省理工学院公开课：微积分重点](http://open.163.com/special/opencourse/weijifen.html) 219 | - [清华大学微积分主讲-刘坤林](https://www.bilibili.com/video/av29845488/) 220 | - [微积分-浙江大学](https://www.bilibili.com/video/av39156411?from=search&seid=11125098883390790554) 221 | - [麻省理工学院公开课：多变量微积分](http://open.163.com/special/opencourse/multivariable.html) 222 | - [可汗学院公开课：微积分预备](http://open.163.com/special/Khan/precalculus.html) 223 | - [麻省理工学院公开课：单变量微积分](http://open.163.com/special/sp/singlevariablecalculus.html) 224 | - [HACC公开课：微积分1](http://open.163.com/movie/2018/12/0/H/ME19860FO_ME1AUHF0H.html) 225 | - [HACC公开课：微积分II](http://open.163.com/movie/2018/12/1/S/ME2SKV6B0_ME2UJ1G1S.html) 226 | - [数学分析讲义 - 南京大学数学系](http://math.nju.edu.cn/~meijq/calculus/notes.pdf) 227 | - [7天搞定微积分](http://www.rsqdz.net:907/upload/userfile/naturalism/shuxue/7天搞定微积分.李巧丽.扫描版.pdf) 228 | - [托马斯微积分](https://github.com/gnuhub/books-1/blob/master/数学●基础数学●数学分析/托马斯微积分.pdf) 229 | 230 | ## 十一、量化 231 | 232 | - [Python量化投资](https://www.lizenghai.com/) 233 | 234 | ## 十一、数据集/接口 235 | 236 | - [sklearn自带数据集](https://scikit-learn.org/stable/modules/classes.html?highlight=dataset#module-sklearn.datasets) 237 | - [kaggle数据集](https://www.kaggle.com/datasets) 238 | - [UCI数据集](https://archive.ics.uci.edu/ml/datasets.php) 239 | - [科赛网数据集](https://www.kesci.com/home/dataset) 240 | - [tushare财经股票基金数据接口](http://tushare.org/) 241 | - [akshare财经股票基金数据接口](https://akshare.readthedocs.io/zh_CN/latest/) 242 | - [baostock财经股票基金数据接口](http://baostock.com/baostock/index.php/%E9%A6%96%E9%A1%B5) 243 | 244 | ## 十二、地理信息分析 245 | 246 | - [geoplot地理空间可视化官方文档](https://residentmario.github.io/geoplot/index.html) 247 | - [folium地图可视化官方文档](https://python-visualization.github.io/folium/) 248 | - [geopandas地理空间数据处理官方文档](https://geopandas.org/) 249 | - [cartopy地理空间可视化官方文档](https://scitools.org.uk/cartopy/docs/latest/) 250 | 251 | 252 | -------------------------------------------------------------------------------- /img.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hi-weijun/PythonDataScience-Collections/f4860c4592678c4d0a63215ec5bfb02e1f8342d7/img.png --------------------------------------------------------------------------------