Jupyter core package. A base package on which Jupyter projects rely.
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A framework that lets Python classes have attributes with type checking, dynamically calculated default values, and callbacks.
This package contains the Python bindings for 0MQ.0MQ is a lightweight and fast messaging implementation.
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.
Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Tornado is an open source version of the scalable, non-blocking web server and tools.
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.
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.
The dateutil module provides powerful extensions to the standard datetime module, available in Python.