Our Subscription Manager utilises X509 certificates to define the product(s) a system is built upon/subscribed to. This is the subscription definition for Python3-Notebook

This package provides directories required by other packages that add extensions to Jupyter.

Minimalistic C kernel for Jupyter

This package provides a defined interface for working with a cache of Jupyter notebooks. It is useful if you have a number of notebooks whose execution outputs you want to ensure are kept up to date, without having to re-execute them every time (particularly for long running code, or text-based formats that do not store the outputs). The notebooks must have deterministic execution outputs: - You use the same environment to run them (e.g. the same installed packages) - They run no nondeterministic code (e.g. random numbers) - They do not depend on external resources (e.g. files or network connections) that change over time

This package 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.

An IPython-like terminal frontend for Jupyter kernels in any language.

Core common functionality of Jupyter projects. This package contains base application classes and configuration inherited by other projects.

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

This package contains a Jupyter kernel for Singular, to enable using Jupyter as the front end for Singular.

jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels for successful code execution and conformance with the Jupyter Messaging Protocol (currently 5.0).