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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.
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]
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. [citation needed] Custom packages can be made using the conda build command, and can be shared with others by uploading them to Anaconda Cloud, [46] PyPI or other repositories. [citation ...
Homebrew: a port of the MacOS package manager meant for use with Windows Subsystem for Linux, using the already existing Linux port as its base; Ninite: Proprietary package manager for Windows NT; NuGet: A Microsoft-official free and open-source package manager for Windows, available as a plugin for Visual Studio, and extendable from the ...
It supports creating projects for existing or new source directories, with optional code retrieval from version control repositories. The IDE facilitates easy creation and configuration of Python environments using virtualenv, pip, Poetry, pipenv, or conda, either locally, on a remote host, or with containers managed by Docker or LXC/LXD. [1]
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.
An early package manager was SMIT (and its backend installp) from IBM AIX. SMIT was introduced with AIX 3.0 in 1989. [citation needed]Early package managers, from around 1994, had no automatic dependency resolution [3] but could already drastically simplify the process of adding and removing software from a running system.
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.