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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-events-0.10.0-1.lbn36.noarch
Jupyter Events
An event system for Jupyter Applications and extensions.
Jupyter Events enables Jupyter Python Applications (e.g. Jupyter Server, JupyterLab Server, JupyterHub, etc.) to emit events—structured data describing things happening inside the application. Other software (e.g. client applications like JupyterLab) can listen and respond to these events.
Install
Install Jupyter Events directly from PyPI:
pip install jupyter_events
or conda-forge:
conda install -c conda-forge jupyter_events
Documentation
Documentation is available at jupyter-events.readthedocs.io.
About the Jupyter Development Team
The Jupyter Development Team is the set of all contributors to the Jupyter project.
This includes all of the Jupyter subprojects.
The core team that coordinates development on GitHub can be found here:
https:/github.com/jupyter/.
Our Copyright Policy
Jupyter uses a shared copyright model. Each contributor maintains copyright
over their contributions to Jupyter. But, it is important
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python3-jupyter-jaeger-1.0.4-1.lbn36.noarch
This adds support for using the Jaeger distributed tracing tool with Jupyter. It facilitates the use case of tracking some process that starts in a kernel and is continued in a mime renderer.
We are using it to profile and debug ibis-vega-transform which goes back and forth between the kernel and the frontend to interactively render charts with Altair.
Installing this adds two Jupyter server extensions that start up the jaeger-all-in-one and jaeger-browser processes when you launch Jupyter. So to use it you must first instrument code in your kernel and/or in the frontend to record traces.
It also provis a NPM Typescript plugin you can use to access the client from inside a JupyterLab extension.
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python3-jupyter-lsp-2.2.0-1.lbn36.noarch
jupyter-lspMulti-[Language Server][language-server] WebSocket proxy for your
Jupyter notebook or lab server. For Python 3.6+.> See the parent of this
repository, > [jupyterlab-lsp]( for the > reference client implementation for
[JupyterLab][]. Language Serversjupyter-lsp does not come with any Language
Servers! Learn more about installing and configuring [language
servers][language servers...
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python3-jupyter-server-2.14.1-1.lbn36.noarch
Jupyter Server
The Jupyter Server provides the backend (i.e. the core services, APIs, and REST endpoints) for Jupyter web applications like Jupyter notebook, JupyterLab, and Voila.
For more information, read our documentation here.
Installation and Basic usage
To install the latest release locally, make sure you have
pip installed and run:
pip install jupyter_server
Jupyter Server currently supports Python>=3.6 on Linux, OSX and Windows.
Versioning and Branches
If Jupyter Server is a dependency of your project/application, it is important that you pin it to a version that works for your application. Currently, Jupyter Server only has minor and patch versions. Different minor versions likely include API-changes while patch versions do not change API.
When a new minor version is released on PyPI, a branch for that version will be created in this repository, and the version of the main branch will be bumped to the next minor version number. That way, the main branch always reflects the
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python3-jupyter-server-fileid-0.9.0-1.lbn36.noarch
jupyter_server_fileid
A Jupyter Server extension providing an implementation of the File ID service.
Requirements
Jupyter Server
Install
To install the extension, execute:
pip install jupyter_server_fileid
Uninstall
To remove the extension, execute:
pip uninstall jupyter_server_fileid
Troubleshoot
If you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:
jupyter server extension list
Contributing
Development install
pip install -e .
You can watch the source directory and run your Jupyter Server-based application at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension. For example,
when running JupyterLab:
jupyter lab --autoreload
If your extension does not depend a part
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python3-jupyter-server-kernels-0.1.2-1.lbn36.noarch
Jupyter Server Kernels
Jupyter Server Kernels is a Jupyter Server Extension providing support for kernels.
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python3-jupyter-server-kernels-proxy-0.1.0-1.lbn36.noarch
Jupyter Server Kernels Proxy
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python3-jupyter-server-mathjax-0.2.6-1.lbn36.noarch
MathJax resources endpoints for Jupyter Server
Basic Usage
Install from PyPI:
> pip install jupyter_server_mathjax
This will automatically enable the extension in Jupyter Server.
To test the installation, you can run Jupyter Server and visit the /static/jupyter_server_mathjax/MathJax.js endpoint:
> jupyter server
Maintenance Notes
To install an editable install locally for development, first clone the repository locally,
then run:
`pip install -e .[test]`
Note that the editable install will not install the data file that
automatically configures the extension for use. To manually enable it, run:
jupyter server extension enable --py jupyter_server_mathjax
To build for distribution, use the build package:
pip install build
python -m build
Then release using twine:
twine check dist/*
twine check dist/*
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