Skip to content

Latest commit

 

History

History
62 lines (47 loc) · 1.23 KB

index.md

File metadata and controls

62 lines (47 loc) · 1.23 KB
file_format kernelspec mystnb
mystnb
name
python3
execution_mode remove_code_source
force
true

examples

Here you will find example notebooks and scripts for working with IPython Parallel.

(example-tutorials)=

Tutorials

Cluster API
Parallel Magics
progress
Data Publication API
visualizing-tasks
broadcast/Broadcast view
broadcast/memmap Broadcast
broadcast/MPI Broadcast

Examples

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.

Futures
joblib
dask
Using Dill

Non-notebook examples

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)