A client library for executing notebooks.
NBClient, a client library for programmatic notebook execution, is a tool for running Jupyter Notebooks in different execution contexts. NBClient was spun out of nbconvert (formerly ExecutePreprocessor). NBClient lets you execute notebooks.
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Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
A framework that lets Python classes have attributes with type checking, dynamically calculated default values, and callbacks.
Easily build and distribute Python 3 packages
Setuptools is a collection of enhancements to the Python 3 distutils that allow you to more easily build and distribute Python 3 packages, especially ones that have dependencies on other packages. This package also contains the runtime components of setuptools, necessary to execute the software that requires pkg_resources.py.
This package contains the base implementation of the Jupyter Notebook format, and Python APIs for working with notebooks.
Jupyter core package. A base package on which Jupyter projects rely.
Jupyter protocol implementation and client libraries.
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.