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Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...
MacPorts, formerly DarwinPorts, [4] is a package manager for macOS and Darwin.It is an open-source software project that aims to simplify the installation of other open source software. [5]
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.
Anaconda is a free and open-source system installer for Linux distributions.. Anaconda is used by Red Hat Enterprise Linux, Oracle Linux, Scientific Linux, Rocky Linux, AlmaLinux, CentOS, MIRACLE LINUX, Qubes OS, Fedora, Sabayon Linux and BLAG Linux and GNU, also in some less known and discontinued distros like Progeny Componentized Linux, Asianux, Foresight Linux, Rpath Linux and VidaLinux.
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.
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.
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.