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Parallel Computing¶

IPython includes an architecture and library for interactive parallel computing. The enables Python functions, along with their arguments, to be run in parallel a multicore CPU, cluster or cloud using a simple Python API.

Tutorials¶

• [Data Publication API](Data Publication API.ipynb)

Examples¶

• [Monitoring an MPI Simulation - 1](Monitoring an MPI Simulation - 1.ipynb)
• [Monitoring an MPI Simulation - 2](Monitoring an MPI Simulation - 2.ipynb)
• [Parallel Decorator and map](Parallel Decorator and map.ipynb)
• [Parallel Magics](Parallel Magics.ipynb)
• [Using Dill](Using Dill.ipynb)
• [Using MPI with IPython Parallel](Using MPI with IPython Parallel.ipynb)
• [Monte Carlo Options](Monte Carlo Options.ipynb)

Non-notebook examples¶

This directory also contains examples that are regular Python (.py) files.

More substantial examples can be found in subdirectories: