Presentations On Dask
=====================

* PyCon Korea 2019, August 2019

  * `Adapting from Spark to Dask: what to expect (18 minutes)
    <https://www.youtube.com/watch?v=tx7qTHSlHKw>`__
    
* SciPy 2019, July 2019

  * `Refactoring the SciPy Ecosystem for Heterogeneous Computing (29 minutes)
    <https://www.youtube.com/watch?v=Q0DsdiY-jiw>`__
  * `Renewable Power Forecast Generation with Dask & Visualization with Bokeh (31 minutes)
    <https://www.youtube.com/watch?v=tYGcicSruck>`__
  * `Efficient Atmospheric Analogue Selection with Xarray and Dask (18 minutes)
    <https://www.youtube.com/watch?v=gdHiGsGUh3o>`__
  * `Better and Faster Hyper Parameter Optimization with Dask (27 minutes)
    <https://www.youtube.com/watch?v=x67K9FiPFBQ>`__
  * `Dask image:A Library for Distributed Image Processing (22 minutes)
    <https://www.youtube.com/watch?v=XGUS174vvLs>`__
    
* EuroPython 2019, July 2019

  * `Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS (29 minutes)
    <https://www.youtube.com/watch?v=en2zdTT-Vwk>`__

* 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>`__
