├── Cryptography Workshops ├── Cryptography_with_Python!_One_Time_Pad.ipynb ├── Cryptography_with_Python!_XOR.ipynb ├── TUDev's_Cryptography_Workshop!_Workshop_II_Cryptographic_Hashing_(FULL).ipynb └── TUDev's_Cryptography_Workshop!_Workshop_I_Substitution_Cipher_(Caesar_Cipher)_(FULL).ipynb ├── Finance Tutorials └── Finance_with_Python!_Black_Scholes_Merton_Model_for_European_Options.ipynb ├── Google Colab Tutorials ├── Exploratory_Data_Analysis_&_Modeling_with_Python_and_R.ipynb ├── Google Colab - Importing Python Scripts as Modules! │ ├── Google_Colab_Importing_a_Python_Script_as_a_Module.ipynb │ └── squareroot.py ├── Google Colab + Google Trends │ ├── Google_Colab_+_Google_Trends!.ipynb │ └── country_codes.xlsx ├── Google Colab + Kaggle - Download Dataset. │ └── Google_Colab_+_Kaggle_Download_Dataset.ipynb ├── Google Colab - An Intro to Bash Scripting!.ipynb ├── Google Colab - Connecting to Google Drive │ ├── Google_Colab_Connecting_to_Google_Drive!.ipynb │ └── nasa_asteroids.csv ├── Google Colab - Exporting to a PDF Format! │ └── KNN.ipynb ├── Google Colab - Interactive Graphs, Tables and Widgets! │ ├── Google Colab - Interactive Graphs, Tables and Widgets!.ipynb │ ├── WA_Fn-UseC_-HR-Employee-Attrition.csv │ └── fred_econ_data.xls ├── Google_Colab_+_Git_Pushing_Changes_to_a_GitHub_Repo!.ipynb ├── Google_Colab_+_Kaggle.ipynb ├── Google_Colab_IPython_display!.ipynb ├── Google_Colab_Magic_Commands_and_Packages.ipynb ├── Google_Colab_Printing_with_Markdown!.ipynb ├── Google_Colab_Working_with_R!_(FULL).ipynb ├── LaTeX_and_Markdown_Examples.ipynb └── tree_diameters.xlsx ├── Graphing with Python Workshop ├── Getting Started with Google Colab.mp4 ├── Graphing_in_Python!.ipynb ├── Graphing_in_Python!_BLANK.ipynb ├── nasa.csv └── read me ├── Intro to NLP ├── TUDevs_Intro_Natrual_Language_Processing_Workshop.ipynb └── yelp_reviews.xlsx ├── LICENSE ├── Machine Learning Workshops ├── Future Workshops │ └── empty ├── K Nearest Neighbors (KNN) │ ├── Python_K_Nearest_Neighbors_Classification_Algorithm_(KNN)!.ipynb │ ├── microsoft_malware.csv │ └── nasa.csv ├── Machine_Learning_with_Python!_Polynomial_Regression.ipynb ├── Machine_Learning_with_Python!_Simple_Linear_Regression.ipynb └── Mean Squared Error │ ├── Machine_Learning_with_Python!_Mean_Squared_Error_(MSE).ipynb │ └── nba_draft_combine_all_years.csv ├── Python YouTube Tutorials ├── An Intro to Linear Algebra │ ├── Python_An_Intro_to_Linear_Algebra!.ipynb │ └── falcon_9.jpg ├── An_Intro_to_Markov_chains_with_Python!.ipynb ├── Python_Checking_Package_Dependencies!.ipynb ├── Python_Dictionaries!.ipynb ├── Python_For_Loops_vs_List_Comprehension!.ipynb ├── Python_Lists!.ipynb ├── Python_NumPy_Arrays!.ipynb ├── Python_NumPy_Functions!.ipynb ├── Python_Reading,_Writting_and_Playing_Audio_Files! │ ├── Python_Reading,_Writting_and_Playing_Audio_Files!_(FULL).ipynb │ ├── Rockin' Robin by Bobby Day.mp3 │ └── note_frequencies.xlsx ├── Python_Slicing_and_Striding!.ipynb ├── Python_Strings!.ipynb ├── Python_User_Defined_Functions!.ipynb ├── Reading and Writing csv and Excel Files │ ├── Financial_data_combined.csv │ └── Python_Reading_and_Writing_csv_and_Excel_Files!.ipynb └── Statistical plotting with Matplotlib │ ├── Statistical_plotting_with_Matplotlib!.ipynb │ └── bball.csv ├── README.md ├── Solving Programming Problems with Python Workshop ├── TUDev's_Solving_Coding_Challenges_with_Python!.ipynb └── TUDev's_Solving_Coding_Challenges_with_Python!_BLANK.ipynb ├── Statistics Workshops └── Statistics_with_Python!_Monte_Carlo_Integration.ipynb └── pandas Workshop ├── Working_with_pandas_in_Python!.ipynb ├── Working_with_pandas_in_Python!_BLANK.ipynb ├── activities.csv ├── img ├── img1.png └── img2.png ├── titanic_data.csv └── video_game_sales.csv /Cryptography Workshops/Cryptography_with_Python!_One_Time_Pad.ipynb: -------------------------------------------------------------------------------- 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