WebSocket client for Python with low level API options
websocket-client module is WebSocket client for python. This provide the low level APIs for WebSocket. All APIs are the synchronous functions. websocket-client supports only hybi-13.
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The nbconvert tool, jupyter nbconvert, converts notebooks to various other formats via Jinja templates. The nbconvert tool allows you to convert an .ipynb notebook file into various static formats including HTML, LaTeX, PDF, Reveal JS, Markdown (md), ReStructured Text (rst) and executable script.
The backend for Jupyter web applications
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.
An event system for Jupyter Applications and extensions.
Python client for the Prometheus monitoring system.
The official Python client for Prometheus.
A Jupyter Server Extension providing support for terminals.
Jupyter Server Terminals is a Jupyter Server Extension providing support for terminals.
The secure Argon2 password hashing algorithm.
Reusable core utilities for various Python Packaging interoperability specifications. This library provides utilities that implement the interoperability specifications which have clearly one correct behaviour (eg: PEP 440) or benefit greatly from having a single shared implementation (eg: PEP 425). The packaging project includes the following: version handling, specifiers, markers, requirements, tags, utilities.
This package contains the Python bindings for 0MQ.0MQ is a lightweight and fast messaging implementation.
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.
General purpose template engine for python3
This package is the python3 version of python-jinja2.
Tornado websocket backend for the Xterm.js Javascript terminal emulator library.
This is a Tornado websocket backend for the Xterm.js Javascript terminal emulator library.
A decorator to automatically detect mismatch when overriding a method.
Send file to trash natively under Mac OS X, Windows and Linux.
Python library to natively send files to Trash (or Recycle bin) on all platforms.
Compatibility layer for multiple asynchronous event loop implementations
AnyIO is an asynchronous networking and concurrency library that works on top of either asyncio or trio. It implements trio-like structured concurrency (SC) on top of asyncio, and works in harmony with the native SC of trio itself.
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.