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@ -25,12 +25,12 @@ A collection of resources for pandas (Python) and related subjects.
| [The Python Visualization Landscape](https://www.youtube.com/watch?v=FytuB8nFHPQ) | Jake VanderPlas | PyCon 2017 | 0:33 | 21000 | python | 2017 | :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: |
| [JupyterLab: Building Blocks for Interactive Computing SciPy 2016 Brian Granger - YouTube](https://www.youtube.com/watch?v=Ejh0ftSjk6g) | NAME | Enthought | DURATION | 28000 | None | 2016 | Novice |
| [Sofia Heisler No More Sad Pandas Optimizing Pandas Code for Speed and Efficiency PyCon 2017 - YouTube](https://www.youtube.com/watch?v=HN5d490_KKk) | NAME | PyCon 2017 | DURATION | 12000 | None | 2017 | Novice |
| [A Visual Guide To Pandas - YouTube](https://www.youtube.com/watch?v=9d5-Ti6onew) | NAME | Next Day Video | DURATION | 49000 | None | 2015 | Novice |
| [Machine Learning with Scikit Learn SciPy 2015 Tutorial Andreas Mueller & Kyle Kastner Part I - YouTube](https://www.youtube.com/watch?v=80fZrVMurPM) | NAME | Enthought | DURATION | 48000 | None | 2015 | Novice |
| [Machine Learning for Time Series Data in Python SciPy 2016 Brett Naul - YouTube](https://www.youtube.com/watch?v=ZgHGCfwExw0) | NAME | Enthought | DURATION | 24000 | None | 2016 | Novice |
| [The Fun of Reinvention (Screencast) - YouTube](https://www.youtube.com/watch?v=js_0wjzuMfc) | NAME | David Beazley | DURATION | 11000 | None | 2017 | Novice |
| [JupyterLab: Building Blocks for Interactive Computing](https://www.youtube.com/watch?v=Ejh0ftSjk6g) | Brian Granger | Enthought | 0:29 | 28000 | jupyter | 2016 | :snake: |
| [Optimizing Pandas Code for Speed and Efficiency](https://www.youtube.com/watch?v=HN5d490_KKk) | Sofia Heisler | PyCon 2017 | 0:29 | 12000 | pandas | 2017 | :snake: :snake: |
| [A Visual Guide To Pandas](https://www.youtube.com/watch?v=9d5-Ti6onew) | Jason Wirth | Next Day Video | 0:26 | 49000 | pandas | 2015 | :snake: |
| [Machine Learning with Scikit Learn](https://www.youtube.com/watch?v=80fZrVMurPM) [[repo](https://github.com/amueller/scipy_2015_sklearn_tutorial)] | Andreas Mueller & Kyle Kastner | Enthought | 3:22 | 48000 | sklearn | 2015 | :snake: :snake: |
| [Machine Learning for Time Series Data in Python](https://www.youtube.com/watch?v=ZgHGCfwExw0) | Brett Naul | Enthought | 0:24 | 24000 | cesium | 2016 | :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: |
| [Analyzing and Manipulating Data with Pandas Beginner SciPy 2016 Tutorial Jonathan Rocher - YouTube](https://www.youtube.com/watch?v=6ohWS7J1hVA) | NAME | Enthought | DURATION | 22000 | None | 2016 | Novice |
| [Super Advanced Python - YouTube](https://www.youtube.com/watch?v=u2KZJzoz-qI) | NAME | Next Day Video | DURATION | 143000 | None | 2013 | Novice |
| [Computational Statistics SciPy 2017 Tutorial Allen Downey - YouTube](https://www.youtube.com/watch?v=He9MCbs1wgE) | NAME | Enthought | DURATION | 10000 | None | 2017 | Novice |