--- file_format: mystnb kernelspec: name: python3 mystnb: execution_mode: "force" remove_code_source: true --- # examples Here you will find example notebooks and scripts for working with IPython Parallel. ## Tutorials ```{toctree} Cluster API Parallel Magics progress Data Publication API visualizing-tasks broadcast/Broadcast view broadcast/memmap Broadcast broadcast/MPI Broadcast ``` ## Examples ```{toctree} Monitoring an MPI Simulation - 1 Monitoring an MPI Simulation - 2 Parallel Decorator and map Using MPI with IPython Parallel Monte Carlo Options rmt/rmt ``` ## Integrating IPython Parallel with other tools There are lots of cool tools for working with asynchronous and parallel execution. IPython Parallel aims to be fairly compatible with these, both by implementing explicit support via methods such as `Client.become_dask`, and by using standards such as the `concurrent.futures.Future` API. ```{toctree} Futures joblib dask Using Dill ``` ## Non-notebook examples This directory also contains some examples that are scripts instead of notebooks. ```{code-cell} import glob import os from IPython.display import FileLink, FileLinks, display FileLinks(".", included_suffixes=[".py"], recursive=True) ```