:doc:`Array documentation<array>`
.. toctree:: :maxdepth: 1 examples/array-numpy.rst examples/array-hdf5.rst examples/array-random.rst examples/array-extend.rst
- Blogpost: Distributed NumPy and Image Analysis on a Cluster, January 2017
- Use Dask.array to generate task graphs
- Alternating Least Squares for collaborative filtering
.. toctree:: :maxdepth: 1 examples/bag-json.rst examples/bag-word-count-hdfs.rst
:doc:`DataFrame documentation<dataframe>`
.. toctree:: :maxdepth: 1 examples/dataframe-csv.rst examples/dataframe-hdf5.rst
- Blogpost: Dataframes on a cluster, January 2017
- Distributed DataFrames on NYCTaxi data
- Build Parallel Algorithms for Pandas
- Simple distributed joins
- Build Dask.dataframes from custom format, feather
:doc:`Delayed documentation<delayed>`
.. toctree:: :maxdepth: 1 examples/delayed-array.rst examples/delayed-custom.rst
- Blogpost: Delayed on a cluster, January 2017
- Blogpost: Dask and Celery, September 2016
- Basic Delayed example
- Build Parallel Algorithms for Pandas
- Build Dask.dataframes from custom format, feather
Concurrent.futures documentation
A Dask tutorial from July 2015 (fairly old) is available here: https://github.com/dask/dask-tutorial