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Presentations On Dask
=====================
* SciPy 2018, July 2018
* `Scalable Machine Learning with Dask (30 minutes)
<https://www.youtube.com/watch?v=ccfsbuqsjgI>`__
* PyCon 2018, May 2018
* `Democratizing Distributed Computing with Dask and JupyterHub (32 minutes)
<https://www.youtube.com/watch?v=Iq72dt1gO9c>`__
* AMS & ESIP, January 2018
* `Pangeo quick demo: Dask, XArray, Zarr on the cloud with JupyterHub (3 minutes)
<https://www.youtube.com/watch?v=rSOJKbfNBNk>`__
* `Pangeo talk: An open-source big data science platform with Dask, XArray, Zarr on the cloud with JupyterHub (43 minutes)
<https://www.youtube.com/watch?v=mDrjGxaXQT4>`__
* PYCON.DE 2017, November 2017
* `Dask: Parallelism in Python (1 hour, 2 minutes)
<https://www.youtube.com/watch?v=rZlshXJydgQ>`__
* PYCON 2017, May 2017
* `Dask: A Pythonic Distributed Data Science Framework (46 minutes)
<https://www.youtube.com/watch?v=RA_2qdipVng>`__
* PLOTCON 2016, December 2016
* `Visualizing Distributed Computations with Dask and Bokeh (33 minutes)
<https://www.youtube.com/watch?v=FTJwDeXkggU>`__
* PyData DC, October 2016
* `Using Dask for Parallel Computing in Python (44 minutes)
<https://www.youtube.com/watch?v=s4ChP7tc3tA>`__
* SciPy 2016, July 2016
* `Dask Parallel and Distributed Computing (28 minutes)
<https://www.youtube.com/watch?v=PAGjm4BMKlk>`__
* PyData NYC, December 2015
* `Dask Parallelizing NumPy and Pandas through Task Scheduling (33 minutes)
<https://www.youtube.com/watch?v=mHd8AI8GQhQ>`__
* PyData Seattle, August 2015
* `Dask: out of core arrays with task scheduling (1 hour, 50 minutes)
<https://www.youtube.com/watch?v=ieW3G7ZzRZ0>`__
* SciPy 2015, July 2015
* `Dask Out of core NumPy:Pandas through Task Scheduling (16 minutes)
<https://www.youtube.com/watch?v=1kkFZ4P-XHg>`__
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