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@ -37,6 +37,7 @@ quantified roughly as follows:
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* :smiley: : **Beginner** - requires little knowledge to jump into, elementary topics.
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* :smiley: : **Beginner** - requires little knowledge to jump into, elementary topics.
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* :sweat_smile: : **Intermediate** - some prior knowledge needed, more technical.
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* :sweat_smile: : **Intermediate** - some prior knowledge needed, more technical.
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* :scream: : **Advanced** - very technical, or discusses advanced topics.
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* :scream: : **Advanced** - very technical, or discusses advanced topics.
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* :star: : **Recommended video** - high quality video and audio, great presentation.
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| Title | Speaker | Uploader | Time | Views | Year | Level |
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| Title | Speaker | Uploader | Time | Views | Year | Level |
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| ----- | ------- | -------- | ---- | ----- | ---- | ----- |
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| ----- | ------- | -------- | ---- | ----- | ---- | ----- |
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@ -63,17 +64,16 @@ quantified roughly as follows:
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* [Python For Data Science - pandas](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf)
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* [Python For Data Science - pandas](https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf)
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### (1.3) :mortar_board: Tutorials
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### (1.3) :mortar_board: Tutorials
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* https://github.com/jorisvandenbossche/pandas-tutorial
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* [pandas-tutorial](https://github.com/jorisvandenbossche/pandas-tutorial) [Video: [Pandas](https://www.youtube.com/watch?v=Cz_u2If7KbI) & [Advanced Pandas](https://www.youtube.com/watch?v=gS7kVg-4ZaU)]
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* https://github.com/guipsamora/pandas_exercises
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* [pandas_exercises](https://github.com/guipsamora/pandas_exercises)
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* https://github.com/brandon-rhodes/pycon-pandas-tutorial [Video: [Pandas From The Ground Up](https://www.youtube.com/watch?v=5JnMutdy6Fw)]
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* [pycon-pandas-tutorial](https://github.com/brandon-rhodes/pycon-pandas-tutorial) [Video: [Pandas From The Ground Up](https://www.youtube.com/watch?v=5JnMutdy6Fw)]
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* https://github.com/jadianes/winerama-recommender-tutorial
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* [pandas_tutorial](https://github.com/jonathanrocher/pandas_tutorial) [Video: [Analyzing and Manipulating Data with Pandas](https://www.youtube.com/watch?v=6ohWS7J1hVA)]
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* https://github.com/jonathanrocher/pandas_tutorial [Video: [Analyzing and Manipulating Data with Pandas](https://www.youtube.com/watch?v=6ohWS7J1hVA)]
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* [scipy-2017-tutorial-pandas](https://github.com/chendaniely/scipy-2017-tutorial-pandas) [Video: [Pandas for Data Analysis](https://www.youtube.com/watch?v=oGzU688xCUs)]
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* https://github.com/chendaniely/scipy-2017-tutorial-pandas [Video: [Pandas for Data Analysis](https://www.youtube.com/watch?v=oGzU688xCUs)]
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* [Learn-Pandas](https://github.com/tdpetrou/Learn-Pandas)
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* https://github.com/tdpetrou/Learn-Pandas
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* [Pandas-Tutorial](https://github.com/adeshpande3/Pandas-Tutorial)
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* https://github.com/adeshpande3/Pandas-Tutorial
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* [sklearn_pandas_tutorial](https://github.com/GaelVaroquaux/sklearn_pandas_tutorial)
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* https://github.com/GaelVaroquaux/sklearn_pandas_tutorial
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* [pandas_basics](https://github.com/vi3k6i5/pandas_basics)
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* https://github.com/vi3k6i5/pandas_basics
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* [first-python-notebook](https://github.com/california-civic-data-coalition/first-python-notebook)
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* https://github.com/california-civic-data-coalition/first-python-notebook
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### (1.4) :blue_book: Books / papers
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### (1.4) :blue_book: Books / papers
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