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  2. pip (package manager) - Wikipedia

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

    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, possible through a "requirements" file. [14]

  3. Python Package Index - Wikipedia

    en.wikipedia.org/wiki/Python_Package_Index

    Some package managers, including pip, use PyPI as the default source for packages and their dependencies. [6] [7] As of 6 May 2024, more than 530,000 Python packages are available. PyPI primarily hosts Python packages in the form of source archives, called "sdists", or of "wheels" [8] that may contain binary modules from a compiled language.

  4. mod_wsgi - Wikipedia

    en.wikipedia.org/wiki/Mod_wsgi

    mod_wsgi is an Apache HTTP Server module by Graham Dumpleton that provides a WSGI compliant interface for hosting Python based web applications under Apache. As of version 4.5.3, mod_wsgi supports Python 2 and 3 (starting from 2.6 and 3.2). [1] It is an alternative to mod_python, CGI, and FastCGI solutions for Python-web integration. It was ...

  5. Conda (package manager) - Wikipedia

    en.wikipedia.org/wiki/Conda_(Package_Manager)

    Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.

  6. APMonitor - Wikipedia

    en.wikipedia.org/wiki/APMonitor

    Julia, MATLAB, Python are mathematical programming languages that have APMonitor integration through web-service APIs. The GEKKO Optimization Suite is a recent extension of APMonitor with complete Python integration. The interfaces are built-in optimization toolboxes or modules to both load and process solutions of optimization problems.

  7. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]

  8. py2exe - Wikipedia

    en.wikipedia.org/wiki/Py2exe

    py2exe is a Python extension which converts Python scripts (.py) into Microsoft Windows executables (.exe). These executables can run on a system without Python installed. [ 3 ] It is the most common tool for doing so.

  9. Homebrew (package manager) - Wikipedia

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

    Homebrew is a free and open-source software package management system that simplifies the installation of software on Apple's operating system, macOS, as well as Linux.The name is intended to suggest the idea of building software on the Mac depending on the user's taste.