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Using IPython for parallel computing

Release:|release|
Date:|today|

Installing IPython Parallel

As of 4.0, IPython parallel is now a standalone package called :mod:`ipyparallel`. You can install it with:

pip install ipyparallel

or:

conda install ipyparallel

As of IPython Parallel 6.2, this will additionally install and enable the IPython Clusters tab in the Jupyter Notebook dashboard.

You can also enable/install the clusters tab yourself after the fact with:

ipcluster nbextension enable

Or the individual Jupyter commands:

jupyter serverextension install [--sys-prefix] --py ipyparallel jupyter nbextension install [--sys-prefix] --py ipyparallel jupyter nbextension enable [--sys-prefix] --py ipyparallel

Contents

.. toctree::
   :maxdepth: 1

   changelog
   intro
   process
   direct
   magics
   task
   asyncresult
   mpi
   db
   security
   demos
   dag_dependencies
   details
   transition
   development/messages
   development/connections

ipyparallel API

.. toctree::
    :maxdepth: 2

    api/ipyparallel.rst


Indices and tables