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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]
A software package is an archive file containing a computer program as well as necessary metadata for its deployment. The computer program can be in source code that has to be compiled and built first. [6] Package metadata include package description, package version, and dependencies (other packages that need to be installed beforehand).
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.
An alternative to the npm package manager, Yarn was created as a collaboration of Facebook (now Meta), Exponent (now Expo.dev), Google, and Tilde (the company behind Ember.js) to solve consistency, security, and performance problems with large codebases.
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]
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The lead, which identifies the file as an RPM file and contains some obsolete headers. The signature, which can be used to ensure integrity and/or authenticity. The header, which contains metadata including package name, version, architecture, file list, etc. A file archive (the payload), which usually is in cpio format, compressed with gzip.