ipyparallel9.0.0
ipyparallel9.0.0
Published
Interactive Parallel Computing with IPython
pip install ipyparallel
Package Downloads
Authors
Project URLs
Requires Python
>=3.8
Dependencies
- decorator
- importlib-metadata
>=3.6; python_version < "3.10"
- ipykernel
>=6.9.1
- ipython
>=5
- jupyter-client
>=7
- psutil
- python-dateutil
>=2.1
- pyzmq
>=25
- tornado
>=6.1
- tqdm
- traitlets
>=5
- asv
; extra == "benchmark"
- jupyter-server
; extra == "labextension"
- jupyterlab
>=3; extra == "labextension"
- jupyter-server
; extra == "nbext"
- notebook
; extra == "nbext"
- jupyter-server
; extra == "retroextension"
- retrolab
; extra == "retroextension"
- jupyter-server
; extra == "serverextension"
- ipython
[test]; extra == "test"
- pytest
; extra == "test"
- pytest-asyncio
; extra == "test"
- pytest-cov
; extra == "test"
- testpath
; extra == "test"
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.