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tommyod
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README.md
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README.md
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# awesome-pandas
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A collection of resources for [pandas](http://pandas.pydata.org/)
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([Python](https://www.python.org/)) and related subjects.
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([Python](https://www.python.org/)) and related subjects.
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**Pull requests are very welcome.**
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**Contents:** This is an unofficial collection of resources for learning pandas,
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an open source Python library for data analysis. Here you will find videos,
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[statsmodels](http://www.statsmodels.org/stable/) and
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[Jupyter](http://jupyter.org/).
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3. **Miscellaneous related resources** - Resources related to *general* data
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analysis, algorithms, computer science, machine learning, statistics, etc.
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> Pull requests are very welcome.
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analysis, Python programming, algorithms, computer science, machine learning,
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statistics, etc.
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--------------------------------------------------------------------------------
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@ -41,9 +41,9 @@ quantified roughly as follows:
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| Title | Speaker | Uploader | Time | Views | Year | Level |
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| ----- | ------- | -------- | ---- | ----- | ---- | ----- |
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| :star: [Pandas From The Ground Up](https://www.youtube.com/watch?v=5JnMutdy6Fw) [[repo](https://github.com/brandon-rhodes/pycon-pandas-tutorial)] | Brandon Rhodes | PyCon 2015 | 2:24 | 91000 | 2015 | :smiley: |
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| [Introduction Into Pandas](https://www.youtube.com/watch?v=-NR-ynQg0YM) | Daniel Chen | Python Tutorial | 1:28 | 46000 | 2017 | :smiley: |
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| [Introduction To Data Analytics With Pandas](https://www.youtube.com/watch?v=5XGycFIe8qE) [[repo](https://github.com/QCaudron/pydata_pandas)] | Quentin Caudron | Python Tutorial | 1:51 | 25000 | 2017 | :smiley: |
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| :star: [Pandas From The Ground Up](https://www.youtube.com/watch?v=5JnMutdy6Fw) [[repo](https://github.com/brandon-rhodes/pycon-pandas-tutorial)] | Brandon Rhodes | PyCon 2015 | 2:24 | 91000 | 2015 | :smiley: |
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| [Pandas for Data Analysis](https://www.youtube.com/watch?v=oGzU688xCUs) [[repo](https://github.com/chendaniely/scipy-2017-tutorial-pandas)] | Daniel Chen | Enthought | 3:45 | 13000 | 2017 | :sweat_smile: |
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| [Optimizing Pandas Code](https://www.youtube.com/watch?v=HN5d490_KKk) [[repo](https://github.com/sversh/pycon2017-optimizing-pandas)] | Sofia Heisler | PyCon 2017 | 0:29 | 12000 | 2017 | :sweat_smile: |
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| [A Visual Guide To Pandas](https://www.youtube.com/watch?v=9d5-Ti6onew) | Jason Wirth | Next Day Video | 0:26 | 49000 | 2015 | :smiley: |
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@ -51,7 +51,7 @@ quantified roughly as follows:
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| [Time Series Analysis](https://www.youtube.com/watch?v=zmfe2RaX-14) [[repo](https://github.com/ikding/pycon_time_series)] | Aileen Nielsen | PyCon 2017 | 3:11 | 9000 | 2017 | :sweat_smile: |
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| [Predicting sports winners with pandas](https://www.youtube.com/watch?v=k7hSD_-gWMw) | Robert Layton | PyCon Australia | 0:38 | 13000 | 2015 | :sweat_smile: |
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| [Pandas from the Inside](https://www.youtube.com/watch?v=YGk09nK_xnM) [[repo](https://github.com/stevesimmons/pydata-berlin2017-pandas-and-dask-from-the-inside)] [[2016 talk](https://www.youtube.com/watch?v=CowlcrtSyME)] | Stephen Simmons | PyData | 1:17 | 3000 | 2017 | :scream: |
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| Pandas [part 1](https://www.youtube.com/watch?v=Cz_u2If7KbI) & [part 2](https://www.youtube.com/watch?v=gS7kVg-4ZaU) [[repo](https://github.com/jorisvandenbossche/pandas-tutorial)] | Joris Van den Bossche | EuroSciPy | 3:03 | 0 | 2017 | :smiley: |
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| Pandas [part 1](https://www.youtube.com/watch?v=Cz_u2If7KbI) & [part 2](https://www.youtube.com/watch?v=gS7kVg-4ZaU) [[repo](https://github.com/jorisvandenbossche/pandas-tutorial)] | Joris Van den Bossche | EuroSciPy | 3:03 | 1000 | 2017 | :smiley: |
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*Know of a recent, good video? Send a pull request!* :+1:
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### (1.3) :mortar_board: Tutorials
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* :star: [10 Minutes to pandas](http://pandas.pydata.org/pandas-docs/stable/10min.html)
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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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* :star: [pandas_exercises](https://github.com/guipsamora/pandas_exercises)
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* :star: [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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* [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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* [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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* :star: [Learn-Pandas](https://github.com/tdpetrou/Learn-Pandas)
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* [Pandas-Tutorial](https://github.com/adeshpande3/Pandas-Tutorial)
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* [sklearn_pandas_tutorial](https://github.com/GaelVaroquaux/sklearn_pandas_tutorial)
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* [pandas_basics](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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* :star: [pandas-cookbook](https://github.com/jvns/pandas-cookbook)
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* [Learn Pandas](https://bitbucket.org/hrojas/learn-pandas)
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* :star: Modern pandas. Parts:
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[1](http://tomaugspurger.github.io/modern-1-intro.html),
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[2](http://tomaugspurger.github.io/method-chaining.html),
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@ -85,6 +77,14 @@ quantified roughly as follows:
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[5](http://tomaugspurger.github.io/modern-5-tidy.html),
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[6](http://tomaugspurger.github.io/modern-6-visualization.html) and
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[7](http://tomaugspurger.github.io/modern-7-timeseries.html).
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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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* [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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* [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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* [Pandas-Tutorial](https://github.com/adeshpande3/Pandas-Tutorial)
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* [sklearn_pandas_tutorial](https://github.com/GaelVaroquaux/sklearn_pandas_tutorial)
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* [pandas_basics](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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* [Learn Pandas](https://bitbucket.org/hrojas/learn-pandas)
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@ -156,15 +156,16 @@ quantified roughly as follows:
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| Title | Speaker | Uploader | Time | Views | Keyword | Year | Level |
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| ----- | ------- | -------- | -------- | ----- | -------- | ---- | ----- |
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| [How to become a Data Scientist in 6 months](https://www.youtube.com/watch?v=rIofV14c0tc) | Tetiana Ivanova | PyData | 0:56 | 148000 | misc | 2016 | :snake: |
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| :star: [So you want to be a Python expert?](https://www.youtube.com/watch?v=cKPlPJyQrt4) | James Powell | PyData | 1:54 | 28000 | python | 2017 | :snake::snake::snake: |
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| :star: [Transforming Code into Beautiful, Idiomatic Python](https://www.youtube.com/watch?v=OSGv2VnC0go) | Raymond Hettinger | Next Day Video | 0:48 | 340000 | python | 2013 | :snake: |
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| :star: [Builtin Superheroes](https://www.youtube.com/watch?v=j6VSAsKAj98) | David Beazley | David Beazley | 0:44 | 12000 | python | 2016 | :snake: :snake: |
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| [How to become a Data Scientist in 6 months](https://www.youtube.com/watch?v=rIofV14c0tc) | Tetiana Ivanova | PyData | 0:56 | 148000 | misc | 2016 | :snake: |
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| [Modern Dictionaries](https://www.youtube.com/watch?v=p33CVV29OG8) | Raymond Hettinger | SF Python | 1:07 | 44000 | python | 2016 | :snake: :snake: |
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| [Keynote on Concurrency](https://www.youtube.com/watch?v=9zinZmE3Ogk) | Raymond Hettinger | SF Python | 1:13 | 15000 | python | 2017 | :snake::snake: |
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| [The Fun of Reinvention](https://www.youtube.com/watch?v=js_0wjzuMfc) | David Beazley | David Beazley | 0:52 | 11000 | python | 2017 | :snake::snake::snake: |
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| [Being a Core Developer in Python](https://www.youtube.com/watch?v=voXVTjwnn-U) | Raymond Hettinger | SF Python | 1:02 | 19000 | python | 2016 | :snake: |
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| [Visualizing Geographic Data](https://www.youtube.com/watch?v=ZIEyHdvF474) | Christopher Roach | PyData | 0:31 | 14000 | python | 2016 | :snake: |
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| :star: [Builtin Superheroes](https://www.youtube.com/watch?v=j6VSAsKAj98) | David Beazley | David Beazley | 0:44 | 12000 | python | 2016 | :snake: :snake: |
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| [Python's Class Development Toolkit](https://www.youtube.com/watch?v=HTLu2DFOdTg) | Raymond Hettinger | Next Day Video | 0:45 | 80000 | python | 2013 | :snake: :snake: |
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| [The Other Async (Threads + Async = ❤️) - YouTube](https://www.youtube.com/watch?v=x1ndXuw7S0s) | David Beazley | David Beazley | 0:47 | 5000 | python | 2017 | :snake: :snake: :snake:|
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| [Functional Programming with Python](https://www.youtube.com/watch?v=Ta1bAMOMFOI) | Mike Müller | Next Day Video | 0:27 | 44000 | python | 2013 | Novice |
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