Reorganize docs index a bit

-   Demote presentations from the top TOC,
    it performs terribly on google analytics
-   Remove stale and missing content from presentations
-   Promote deployment doc to top section (performs well, related to installation)

docs/source/index.rst

@@ -136,7 +136,7 @@ messy situations in everyday problems.
 
    Install Dask <install.rst>
    10-minutes-to-dask.rst
-   presentations.rst
+   deploying.rst
    Best Practices <best-practices.rst>
    faq.rst
 
@@ -150,7 +150,6 @@ messy situations in everyday problems.
    DataFrame <dataframe.rst>
    Delayed <delayed.rst>
    futures.rst
-   deploying.rst
 
 .. toctree::
    :maxdepth: 1
@@ -174,6 +173,7 @@ messy situations in everyday problems.
    changelog.rst
    configuration.rst
    how-to/index.rst
+   presentations.rst
    maintainers.rst
 
 .. _`Anaconda Inc`: https://www.anaconda.com

docs/source/presentations.rst

@@ -13,127 +13,13 @@ Talks & Tutorials
 
 Dask Tutorial
 -------------
+
 `Dask Tutorial <https://tutorial.dask.org>`__ provides an overview of Dask and is typically delivered in 3 hours.
 See `Parallel and Distributed Computing in Python with Dask <https://www.youtube.com/watch?v=EybGGLbLipI>`__ for the
 latest Dask Tutorial recording from SciPy 2020.
 
-Dask Slides
------------
-`Dask Slides <https://dask.org/slides>`__ provide a quick overview of the motivation for Dask.
-
 Dask YouTube channel
 --------------------
 You can find lots of videos about Dask on the `Dask YouTube channel <https://www.youtube.com/c/dask-dev>`__
 
 .. contents:: :local:
-
-Presentations
--------------
-
-* Dask Summit 2021
-
-  * `Keynotes <https://www.youtube.com/playlist?list=PLJ0vO2F_f6OBymP5LtgOC6W4pxd9Mw3cE>`__ 
-  * `Workshops and Tutorials <https://www.youtube.com/playlist?list=PLJ0vO2F_f6OBD1_iNeT1f7cpRoYwAuMPy>`__
-  * `Talks <https://www.youtube.com/playlist?list=PLJ0vO2F_f6OBcisTDubrdEsQAhigkayjE>`__
-
-* PyCon US 2021
-
-  * `Tutorial: Hacking Dask: Diving into Dask's Internals <https://www.youtube.com/watch?v=LQrgDhN-XOo>`__  (`materials <https://github.com/jrbourbeau/hacking-dask>`__)
-  * `Dask-SQL: Empowering Pythonistas for Scalable End-to-End Data Engineering <https://www.youtube.com/watch?v=z7xKikaScxg>`__
-
-
-* BlazingSQL Webinars, May 2021
-
-  * `Intro to distributed computing on GPUs with Dask in Python <https://www.youtube.com/watch?v=py1YPs6s6so>`__ (`materials <https://gist.github.com/jacobtomlinson/6f16abb716f50f81a6687bd67efd2f61>`__)
-
-* PyData DC, August 2021
-
-  * `Inside Dask <https://www.youtube.com/watch?v=X95WO41abXo>`__ (`materials <https://github.com/jsignell/inside-dask>`__)
-
-* PyCon US 2020
-
-  * `Deploying Python at Scale with Dask <https://www.youtube.com/watch?v=deX0GlW4uew>`__
-
-* PyCon Australia 2020
-
-  * `dask-image: distributed image processing for large data <https://www.youtube.com/watch?v=MpjgzNeISeI>`__
-
-* 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>`__