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python3-apache-airflow-tableau-2.8.0-2.lbn36.noarch
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python3-apache-airflow-tabular-2.8.0-2.lbn36.noarch
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python3-apache-airflow-telegram-2.8.0-2.lbn36.noarch
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python3-apache-airflow-trino-2.8.0-2.lbn36.noarch
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python3-apache-airflow-vertica-2.8.0-2.lbn36.noarch
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python3-apache-airflow-yandex-2.8.0-2.lbn36.noarch
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python3-apache-airflow-zendesk-2.8.0-2.lbn36.noarch
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python3-jupyter-c-kernel-1.2.2-14.fc36.noarch
Minimalistic C kernel for Jupyter
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python3-jupyter-cache-0.5.0-1.lbn36.noarch
jupyter-cache[![Github-CI][github-ci]][github-link] [![Coverage
Status][codecov-badge]][codecov-link] [![Documentation Status][rtd-badge]][rtd-
link] [![Code style: black][black-badge]][black-link] [![PyPI][pypi-
badge]][pypi-link]A defined interface for working with a cache of jupyter
notebooks. Why use jupyter-cache?If you have a number of notebooks whose
execution outputs you want to...
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python3-jupyter-client-8.4.0-1.lbn36.noarch
Jupyter Client
jupyter_client contains the reference implementation of the Jupyter protocol.
It also provides client and kernel management APIs for working with kernels.
It also provides the jupyter kernelspec entrypoint
for installing kernelspecs for use with Jupyter frontends.
Development Setup
The Jupyter Contributor Guides provide extensive information on contributing code or documentation to Jupyter projects. The limited instructions below for setting up a development environment are for your convenience.
Coding
You'll need Python and pip on the search path. Clone the Jupyter Client git repository to your computer, for example in /my/project/jupyter_client
cd /my/projects/
git clone git@github.com:jupyter/jupyter_client.git
Now create an editable install
and download the dependencies of code and test suite by executing:
cd /my/projects/jupyter_client/
pip install -e ".[test]"
pytest
The last command runs the test suite to verify the setup. During development, you can pass file
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