An implementation of the Debug Adapter Protocol for Python
debugpy is an implementation of the Debug Adapter Protocol for Python.
acquired package info from repodata DB: repodata/69e709f4d2852d98f12867a74015d19384fe2727ff670fd70178cdde80b1e77e-primary.sqlite.bz2
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.
This package provides the IPython kernel for Jupyter.
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.
IPython: Productive Interactive Computing
IPython provides a rich toolkit to help you make the most out of using Python interactively. Its main components are: * A powerful interactive Python shell * A `Jupyter <https://jupyter.org/>`_ kernel to work with Python code in Jupyter notebooks and other interactive frontends. The enhanced interactive Python shells have the following main features: * Comprehensive object introspection. * Input history, persistent across sessions. * Caching of output results during a session with automatically generated references. * Extensible tab completion, with support by default for completion of python variables and keywords, filenames and function keywords. * Extensible system of 'magic' commands for controlling the environment and performing many tasks related either to IPython or the operating system. * A rich configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time). * Session logging and reloading. * Extensible syntax processing for special purpose situations. * Access to the system shell with user-extensible alias system. * Easily embeddable in other Python programs and GUIs. * Integrated access to the pdb debugger and the Python profiler. The latest development version is always available from IPython's `GitHub site <http://github.com/ipython>`_.
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.
Patch asyncio to allow nested event loops
By design asyncio does not allow its event loop to be nested. This presents a practical problem: When in an environment where the event loop is already running it's impossible to run tasks and wait for the result. Trying to do so will give the error "RuntimeError: This event loop is already running". The issue pops up in various environments, such as web servers, GUI applications and in Jupyter notebooks. This module patches asyncio to allow nested use of asyncio.run and loop.run_until_complete.
A library for retrieving information on running processes and system utilization in Python3
psutil (process and system utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors) in Python3. It is useful mainly for system monitoring, profiling and limiting process resources and management of running processes.It implements many functionalities offered by classic UNIX command line tools such as ps, top, iotop, lsof, netstat, ifconfig, free and others.
Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc.
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.