Interactive Parallel Computing with IPython
Project Links
Meta
Author: IPython Development Team
Requires Python: >=3.8
Classifiers
Framework
- Jupyter
- Jupyter :: JupyterLab
- Jupyter :: JupyterLab :: 4
- Jupyter :: JupyterLab :: Extensions
- Jupyter :: JupyterLab :: Extensions :: Prebuilt
Intended Audience
- Developers
- Science/Research
- System Administrators
License
- OSI Approved :: BSD License
Programming Language
- Python
- Python :: 3.8
Interactive Parallel Computing with IPython
IPython Parallel (ipyparallel) is a Python package and collection of CLI scripts for controlling clusters of IPython processes, built on the Jupyter protocol.
IPython Parallel provides the following commands:
- ipcluster - start/stop/list clusters
- ipcontroller - start a controller
- ipengine - start an engine
Install
Install IPython Parallel:
pip install ipyparallel
This will install and enable the IPython Parallel extensions for Jupyter Notebook and (as of 7.0) Jupyter Lab 3.0.
Run
Start a cluster:
ipcluster start
Use it from Python:
import os
import ipyparallel as ipp
cluster = ipp.Cluster(n=4)
with cluster as rc:
ar = rc[:].apply_async(os.getpid)
pid_map = ar.get_dict()
See the docs for more info.
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