Added misc videos
tommyod
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README.md
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README.md
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@ -6,11 +6,11 @@ A collection of resources for [pandas](http://pandas.pydata.org/)
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* (1) **pandas resources** - A collection of videos, cheat-sheets, tutorials and books related directly to pandas.
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* (2) **Data analysis with Python resources** - Material related to adjacent
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Python libraries such as
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Python libraries and software such as
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[NumPy](http://www.numpy.org/),
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[scipy](https://www.scipy.org/),
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[matplotlib](https://matplotlib.org/),
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[seaborn](https://seaborn.pydata.org/)
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[seaborn](https://seaborn.pydata.org/),
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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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@ -18,12 +18,13 @@ A collection of resources for [pandas](http://pandas.pydata.org/)
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## (1) pandas resources
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## (1) :panda_face: pandas resources
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### (1.1) Videos
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### (1.1) :tv: Videos
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The videos below were collected in December of 2017.
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They are all related to pandas, and the **Level** of a video is quantified roughly as follows:
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They are all directly related to pandas, and the **Level** of a video is
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quantified roughly as follows:
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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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@ -35,24 +36,17 @@ They are all related to pandas, and the **Level** of a video is quantified rough
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| [Introduction To Data Analytics With Pandas](https://www.youtube.com/watch?v=5XGycFIe8qE) | Quentin Caudron | Python Tutorial | 1:51 | 25000 | 2017 | :smiley: |
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| [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 for Speed and Efficiency](https://www.youtube.com/watch?v=HN5d490_KKk) | Sofia Heisler | PyCon 2017 | 0:29 | 12000 | 2017 | :sweat_smile: |
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| [Optimizing Pandas Code](https://www.youtube.com/watch?v=HN5d490_KKk) | 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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| [Analyzing and Manipulating Data with Pandas](https://www.youtube.com/watch?v=6ohWS7J1hVA) [[repo](https://github.com/jonathanrocher/pandas_tutorial)] | Jonathan Rocher | Enthought | 3:33 | 22000 | 2016 | :smiley: |
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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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| [Pandas from the Inside](https://www.youtube.com/watch?v=CowlcrtSyME) | Stephen Simmons | PyData | 1:20 | 9000 | 2016 | :scream: |
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| [Predicting sports winners with pandas and scikit-learn](https://www.youtube.com/watch?v=k7hSD_-gWMw) | Robert Layton | PyCon Australia | 0:38 | 13000 | 2015 | :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) | Stephen Simmons | PyData | 1:17 | 3000 | 2017 | :scream: |
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*Know of a recent, good video? Send a pull request! +1
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* (Brandon Rhodes - Pandas From The Ground Up - PyCon 2015) https://www.youtube.com/watch?v=5JnMutdy6Fw
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* (A Visual Guide To Pandas) https://www.youtube.com/watch?v=9d5-Ti6onew
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* (Stephen Simmons | Pandas from the Inside) https://www.youtube.com/watch?v=CowlcrtSyME
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* (Stephen Simmons - Pandas from the Inside / "Big Pandas") https://www.youtube.com/watch?v=YGk09nK_xnM
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* (Pandas for Data Analysis | SciPy 2017 Tutorial | Daniel Chen) https://www.youtube.com/watch?v=oGzU688xCUs
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* (Introduction To Data Analytics With Pandas) https://www.youtube.com/watch?v=5XGycFIe8qE
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* (Introduction Into Pandas: Python Tutorial) https://www.youtube.com/watch?v=-NR-ynQg0YM
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### (1.2) Cheat-sheets
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### (1.2) :exclamation: Cheat-sheets
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* https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
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* https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf
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@ -60,7 +54,7 @@ They are all related to pandas, and the **Level** of a video is quantified rough
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* https://assets.datacamp.com/blog_assets/PandasPythonForDataScience.pdf
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* https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Pandas_Cheat_Sheet_2.pdf
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### (1.3) Tutorials
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### (1.3) :mortar_board: Tutorials
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* https://github.com/jorisvandenbossche/pandas-tutorial
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* https://github.com/guipsamora/pandas_exercises
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* https://github.com/brandon-rhodes/pycon-pandas-tutorial
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@ -73,13 +67,13 @@ They are all related to pandas, and the **Level** of a video is quantified rough
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* https://github.com/vi3k6i5/pandas_basics
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* https://github.com/california-civic-data-coalition/first-python-notebook
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### (1.4) Books
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### (1.4) :blue_book: Books / papers
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## (2) Data analysis with Python resources
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### (2.1) Videos
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### (2.1) :tv: Videos
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| Title | Speaker | Uploader | Time | Views | Keyword | Year | Level |
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| ----- | ------- | -------- | -------- | ----- | -------- | ---- | ----- |
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| [NumPy Beginner](https://www.youtube.com/watch?v=gtejJ3RCddE) [[repo](https://github.com/enthought/Numpy-Tutorial-SciPyConf-2016)] | Alexandre Chabot LeClerc | Enthought | 2:47 | 56000 | NumPy | 2016 | :snake: :snake: |
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@ -118,26 +112,45 @@ They are all related to pandas, and the **Level** of a video is quantified rough
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| [Using randomness to make code much faster](https://www.youtube.com/watch?v=7i6kBz1kZ-A) | Rachel Thomas | SF Python | 0:54 | 1000 | scipy | 2017 | Novice |
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| [Python Profiling & Performance](https://www.youtube.com/watch?v=Dgnp28Ijm_M) | Mahmoud Hashemi | SF Python | 0:28 | 1000 | python | 2016 | Novice |
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### (2.2) Cheat-sheets
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### (2.2) :exclamation: Cheat-sheets
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* http://datasciencefree.com/numpy.pdf
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* https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
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### (2.3) Tutorials
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### (2.3) :mortar_board: Tutorials
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### (2.4) Books
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### (2.4) :blue_book: Books / papers
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## (3) Miscellaneous related resources
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### (3.1) Books
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### (3.1) :tv: Videos
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### (3.2) Papers
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###
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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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| [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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| [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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| [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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| [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 | pandas | 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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| [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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| [Building a Recommendation Engine using Python](https://www.youtube.com/watch?v=E9XTOnEgqRY) | Anusua Trivedi | PyData | 0:37 | 11000 | python | 2015 | Novice |
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| [Iterations of Evolution](https://www.youtube.com/watch?v=2AXuhgid7E4) | David Beazley | David Beazley | 0:34 | 2000 | python | 2017 | Novice |
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| ["Good Enough" IS Good Enough!](https://www.youtube.com/watch?v=_Ek3A2b-nHU) | Alex Martelli | SF Python | 0:53 | 4000 | python | 2016 | Novice |
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### (3.2) :exclamation: Cheat-sheets
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### (3.3) :mortar_board: Tutorials
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### (3.4) :blue_book: Books / papers
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