diff --git a/README.md b/README.md index f2a4cbd..d2163c6 100644 --- a/README.md +++ b/README.md @@ -65,20 +65,20 @@ quantified roughly as follows: ### (1.3) :mortar_board: Tutorials -* [10 Minutes to pandas](http://pandas.pydata.org/pandas-docs/stable/10min.html) +* :star: [10 Minutes to pandas](http://pandas.pydata.org/pandas-docs/stable/10min.html) * [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)] -* [pandas_exercises](https://github.com/guipsamora/pandas_exercises) -* [pycon-pandas-tutorial](https://github.com/brandon-rhodes/pycon-pandas-tutorial) [Video: [Pandas From The Ground Up](https://www.youtube.com/watch?v=5JnMutdy6Fw)] +* :star: [pandas_exercises](https://github.com/guipsamora/pandas_exercises) +* :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)] * [pandas_tutorial](https://github.com/jonathanrocher/pandas_tutorial) [Video: [Analyzing and Manipulating Data with Pandas](https://www.youtube.com/watch?v=6ohWS7J1hVA)] * [scipy-2017-tutorial-pandas](https://github.com/chendaniely/scipy-2017-tutorial-pandas) [Video: [Pandas for Data Analysis](https://www.youtube.com/watch?v=oGzU688xCUs)] -* [Learn-Pandas](https://github.com/tdpetrou/Learn-Pandas) +* :star: [Learn-Pandas](https://github.com/tdpetrou/Learn-Pandas) * [Pandas-Tutorial](https://github.com/adeshpande3/Pandas-Tutorial) * [sklearn_pandas_tutorial](https://github.com/GaelVaroquaux/sklearn_pandas_tutorial) * [pandas_basics](https://github.com/vi3k6i5/pandas_basics) * [first-python-notebook](https://github.com/california-civic-data-coalition/first-python-notebook) -* [pandas-cookbook](https://github.com/jvns/pandas-cookbook) +* :star: [pandas-cookbook](https://github.com/jvns/pandas-cookbook) * [Learn Pandas](https://bitbucket.org/hrojas/learn-pandas) -* Modern pandas, parts: +* :star: Modern pandas. Parts: [1](http://tomaugspurger.github.io/modern-1-intro.html), [2](http://tomaugspurger.github.io/method-chaining.html), [3](http://tomaugspurger.github.io/modern-3-indexes.html), @@ -89,15 +89,6 @@ quantified roughly as follows: -http://tomaugspurger.github.io/modern-1-intro">Modern Pandas -http://tomaugspurger.github.io/method-chaining">Method Chaining -http://tomaugspurger.github.io/modern-3-indexes">Indexes -http://tomaugspurger.github.io/modern-4-performance">Fast Pandas -http://tomaugspurger.github.io/modern-5-tidy">Tidy Data -http://tomaugspurger.github.io/modern-6-visualization">Visualization -http://tomaugspurger.github.io/modern-7-timeseries">Time Series - - ### (1.4) :blue_book: Books / papers * [[amazon](https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662/)] McKinney, Wes. *Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython*. 2 edition. O’Reilly Media, 2017. @@ -167,15 +158,14 @@ http://tomaugspurger.github.io/modern-7-timeseries">Time Series | Title | Speaker | Uploader | Time | Views | Keyword | Year | Level | | ----- | ------- | -------- | -------- | ----- | -------- | ---- | ----- | | [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: | -| [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: | -| [Transforming Code into Beautiful, Idiomatic Python](https://www.youtube.com/watch?v=OSGv2VnC0go) | Raymond Hettinger | Next Day Video | 0:48 | 340000 | python | 2013 | :snake: | +| :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: | +| :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: | | [Modern Dictionaries](https://www.youtube.com/watch?v=p33CVV29OG8) | Raymond Hettinger | SF Python | 1:07 | 44000 | python | 2016 | :snake: :snake: | | [Keynote on Concurrency](https://www.youtube.com/watch?v=9zinZmE3Ogk) | Raymond Hettinger | SF Python | 1:13 | 15000 | python | 2017 | :snake::snake: | -| [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: | | [The Fun of Reinvention](https://www.youtube.com/watch?v=js_0wjzuMfc) | David Beazley | David Beazley | 0:52 | 11000 | python | 2017 | :snake::snake::snake: | | [Being a Core Developer in Python](https://www.youtube.com/watch?v=voXVTjwnn-U) | Raymond Hettinger | SF Python | 1:02 | 19000 | python | 2016 | :snake: | | [Visualizing Geographic Data](https://www.youtube.com/watch?v=ZIEyHdvF474) | Christopher Roach | PyData | 0:31 | 14000 | python | 2016 | :snake: | -| [Builtin Superheroes](https://www.youtube.com/watch?v=j6VSAsKAj98) | David Beazley | David Beazley | 0:44 | 12000 | python | 2016 | :snake: :snake: | +| :star: [Builtin Superheroes](https://www.youtube.com/watch?v=j6VSAsKAj98) | David Beazley | David Beazley | 0:44 | 12000 | python | 2016 | :snake: :snake: | | [Python's Class Development Toolkit](https://www.youtube.com/watch?v=HTLu2DFOdTg) | Raymond Hettinger | Next Day Video | 0:45 | 80000 | python | 2013 | :snake: :snake: | | [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:| | [Functional Programming with Python](https://www.youtube.com/watch?v=Ta1bAMOMFOI) | Mike Müller | Next Day Video | 0:27 | 44000 | python | 2013 | Novice |