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It was created for Python programs, but it can package and distribute software for any language (e.g., R), including multi-language projects. [18] The Conda package and environment manager is included in all versions of Anaconda, Miniconda, [51] and Anaconda Repository. [45]
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.
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.
Version 3.0.3 was one of the first Linux distributions to support ELF (Executable and Linkable Format) binaries instead of the older a.out format. [6] Red Hat Linux introduced a graphical installer called Anaconda developed by Ketan Bagal, intended to be easy to use for novices, and which has since been adopted by some other Linux distributions.
OldVersion.com is an archive website that stores and distributes older versions of primarily Internet-related IBM PC compatible and Apple Macintosh freeware and shareware application software. Alex Levine and Igor Dolgalev [2] founded the site in 2001. [1] Levine created the site because "Companies make a lot of new versions.
(This was an April 2020 recent change to Anaconda's licensing that was widely commented on at the time. [6] [7] ) At some point the fact that Anaconda (in particular, their binary packages and installers from anaconda.com) is no longer free/open-source was added to the article, but it got reverted.
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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.