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  2. pip (package manager) - Wikipedia

    en.wikipedia.org/wiki/Pip_(package_manager)

    An output of pip install virtualenv. Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers ...

  3. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Project Jupyter (/ ˈ dʒ uː p ɪ t ər / ⓘ) is a project to develop open-source software, open standards, and services for interactive computing across multiple programming languages. It was spun off from IPython in 2014 by Fernando Pérez and Brian Granger.

  4. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda, Inc. compiles and builds the packages available in the Anaconda repository itself, and provides binaries for Windows 32/64 bit, Linux 64 bit and MacOS 64-bit (Intel, Apple Silicon). Anything available on PyPI may be installed into a Conda environment using pip, and Conda will keep track of what it has installed and what pip has installed.

  5. Visual Studio Code - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio_Code

    Visual Studio Code was first announced on April 29, 2015 by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.

  6. IPython - Wikipedia

    en.wikipedia.org/wiki/IPython

    IPython continued to exist as a Python shell and kernel for Jupyter, but the notebook interface and other language-agnostic parts of IPython were moved under the Jupyter name. [ 11 ] [ 12 ] Jupyter is language agnostic and its name is a reference to core programming languages supported by Jupyter, which are Julia , Python , and R .

  7. kitty (terminal emulator) - Wikipedia

    en.wikipedia.org/wiki/Kitty_(terminal_emulator)

    kitty is a free and open-source GPU-accelerated [2] [3] terminal emulator for Linux, macOS, [4] and some BSD distributions. [5] Focused on performance and features, kitty is written in a mix of C and Python programming languages. It provides GPU support. kitty shares its name with another program — KiTTY — a fork of PuTTY for Microsoft ...

  8. Gekko (optimization software) - Wikipedia

    en.wikipedia.org/wiki/Gekko_(optimization_software)

    GEKKO works on all platforms and with Python 2.7 and 3+. By default, the problem is sent to a public server where the solution is computed and returned to Python. There are Windows, MacOS, Linux, and ARM (Raspberry Pi) processor options to solve without an Internet connection.

  9. Windows Subsystem for Linux - Wikipedia

    en.wikipedia.org/wiki/Windows_Subsystem_for_Linux

    Windows Subsystem for Linux GUI (WSLg) is built with the purpose of enabling support for running Linux GUI applications (X11 and Wayland) on Windows in a fully integrated desktop experience. [33] WSLg was officially released at the Microsoft Build 2021 conference and is included in Windows 10 Insider build 21364 or later. [ 19 ]