|  | 
|  | 1 | +# Python Tutorials | 
|  | 2 | + | 
|  | 3 | +## Time Series | 
|  | 4 | + | 
|  | 5 | +### Youtube | 
|  | 6 | +[Time Series Data Basics with Pandas Part 1](https://www.youtube.com/watch?v=OwnaUVt6VVE "Time Series Data Basics with Pandas part 1") | 
|  | 7 | + | 
|  | 8 | +[Time Series Data Basics with Pandas Part 2](https://www.youtube.com/watch?v=1S5UKLqe-gg "Time Series Data Basics with Pandas part 2") | 
|  | 9 | + | 
|  | 10 | +### Jupyter Notebook | 
|  | 11 | +[Time Series Data Basics with Pandas Part 1](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part1_Time_Series_Data_BasicPlotting.ipynb "Time Series Data Basics with Pandas Part 1") | 
|  | 12 | + | 
|  | 13 | +[Time Series Data Basics with Pandas Part 2](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part2_Time_Series_Data_Price_Variation_ShiftingGroupBy.ipynb "Time Series Data Basics with Pandas Part 2") | 
|  | 14 | + | 
|  | 15 | +## PySpark Tutorials  | 
|  | 16 | + | 
|  | 17 | +### Youtube | 
|  | 18 | +[Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen](https://www.youtube.com/watch?v=jg7Z8ctKpEs "Filtering and Word Count using PySpark on Pride and Prejudice") | 
|  | 19 | + | 
|  | 20 | +### Jupyter Notebook | 
|  | 21 | +[Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen](https://github.com/mGalarnyk/Python_for_Finance_GUI_Regression_Etc/blob/master/PySpark_Basics/PySpark_Part1_Word_Count_Removing_Punctuation_Pride_Prejudice.ipynb "Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen") | 
|  | 22 | + | 
|  | 23 | +## Python Basics  | 
|  | 24 | + | 
|  | 25 | +### Youtube | 
|  | 26 | +[Linear Regression Python (sklearn, numpy, pandas)](https://www.youtube.com/watch?v=dSYJVbj4Eew "Linear Regression Python (sklearn, numpy, pandas)") | 
|  | 27 | + | 
|  | 28 | +[Solving System of Equations](https://www.youtube.com/watch?v=AqIrdW2-K6k "Solving System of Equations") | 
|  | 29 | + | 
|  | 30 | +### Jupyter Notebook | 
|  | 31 | +[Linear Regression Python (sklearn, numpy, pandas)](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Linear_Regression/Linear_Regression_Python.ipynb "Linear Regression Python (sklearn, numpy, pandas)") | 
|  | 32 | + | 
|  | 33 | +[Solving System of Equations](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Solving_Systems_Equations/Solving%20System%20of%20Linear%20Equations%20using%20Python.ipynb "Solving System of Equations") | 
|  | 34 | + | 
|  | 35 | +## Requests (I take requests on my youtube channel)  | 
|  | 36 | +### Youtube | 
|  | 37 | +[Heatmaps using Matplotlib, Seaborn, and Pandas](https://www.youtube.com/watch?v=m7uXFyPN2Sk "Heatmaps using Matplotlib, Seaborn, and Pandas") | 
|  | 38 | + | 
|  | 39 | +### Jupyter Notebook | 
|  | 40 | +[Heatmaps using Matplotlib, Seaborn, and Pandas](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Request/Heat%20Maps%20using%20Matplotlib%20and%20Seaborn.ipynb "Heatmaps using Matplotlib, Seaborn, and Pandas") | 
|  | 41 | + | 
|  | 42 | +## Other Python Resources | 
|  | 43 | +[Python for Informatics](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Informatics/README.md "Python for Informatics") | 
|  | 44 | + | 
|  | 45 | +[Python Installations](https://github.com/mGalarnyk/Installations_Mac_Ubuntu_Windows "Python Installations") | 
|  | 46 | + | 
|  | 47 | +[Convert Jupyter Notebook to PDF](https://www.youtube.com/watch?v=WbNYvYCs9BY "Convert Jupyter Notebook to PDF") | 
|  | 48 | + | 
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