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Here you will find example notebooks and scripts for working with IPython Parallel.
(example-tutorials)=
Cluster API
Parallel Magics
progress
Data Publication API
visualizing-tasks
broadcast/Broadcast view
broadcast/memmap Broadcast
broadcast/MPI Broadcast
Monitoring an MPI Simulation - 1
Monitoring an MPI Simulation - 2
Parallel Decorator and map
Using MPI with IPython Parallel
Monte Carlo Options
rmt/rmt
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.
Futures
joblib
dask
Using Dill
This directory also contains some examples that are scripts instead of notebooks.
import glob
import os
from IPython.display import FileLink, FileLinks, display
FileLinks(".", included_suffixes=[".py"], recursive=True)