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pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5]
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.
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
These executables can run on a system without Python installed. [3] It is the most common tool for doing so. py2exe was used to distribute the official BitTorrent client (before the version 6.0) and is still used to distribute SpamBayes as well as other projects. Since May 2014, version 0.9.2.0 of py2exe is available for Python 3. [1]
Installation (or setup) of a computer program (including device drivers and plugins), is the act of making the program ready for execution. Installation refers to the particular configuration of software or hardware with a view to making it usable with the computer. A soft or digital copy of the piece of software (program) is needed to install it.
Mac App Store: Official digital distribution platform for OS X apps. Part of OS X 10.7 and available as an update for OS X 10.6; Fink: A port of dpkg, it is one of the earliest package managers for macOS; Homebrew: Command-Line Interface-based package manager, known for its ease-of-use and extensibility.
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
The name MAMP is an acronym that stems from the names of the components of the system: [1] macOS (the operating system); Apache (the web server); MySQL or MariaDB (the database management system); and PHP, Perl, or Python (programming languages used for web development).