Metadata-Version: 2.4
Name: ipyparallel
Version: 9.1.0
Summary: Interactive Parallel Computing with IPython
Project-URL: Homepage, https://ipython.org
Author-email: IPython Development Team <ipython-dev@python.org>
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License-File: COPYING.md
Keywords: Interactive,Interpreter,Parallel,Shell
Classifier: Framework :: Jupyter
Classifier: Framework :: Jupyter :: JupyterLab
Classifier: Framework :: Jupyter :: JupyterLab :: 4
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions
Classifier: Framework :: Jupyter :: JupyterLab :: Extensions :: Prebuilt
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Requires-Python: >=3.10
Requires-Dist: decorator
Requires-Dist: ipykernel>=6.9.1
Requires-Dist: ipython>=5
Requires-Dist: jupyter-client>=7
Requires-Dist: psutil
Requires-Dist: python-dateutil>=2.1
Requires-Dist: pyzmq>=25
Requires-Dist: tornado>=6.1
Requires-Dist: tqdm
Requires-Dist: traitlets>=5
Provides-Extra: benchmark
Requires-Dist: asv; extra == 'benchmark'
Provides-Extra: labextension
Requires-Dist: jupyter-server; extra == 'labextension'
Requires-Dist: jupyterlab>=3; extra == 'labextension'
Provides-Extra: nbext
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Provides-Extra: retroextension
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Requires-Dist: pytest-asyncio; extra == 'test'
Requires-Dist: pytest-cov; extra == 'test'
Requires-Dist: testpath; extra == 'test'
Description-Content-Type: text/markdown

# 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:

```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](https://ipyparallel.readthedocs.io) for more info.
