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An output of pip install virtualenv. 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 ...
PAR::Repository and Perl package manager: binary package managers for Perl; PEAR: a programming library for PHP; pip: a package manager for Python and the PyPI programming library; RubyGems: a package manager and repository for Ruby; sbt: a build tool for Scala, uses Ivy for dependency management; yarn: an alternative to npm for Node.js and ...
Another method is to install pre-built binary packages via the pkg_add and pkg_delete tools. A high-level utility named pkgin also exists, and is designed to automate the installation, removal, and update of binary packages in a manner similar to Debian 's Advanced Packaging Tool .
A software repository, or repo for short, is a storage location for software packages. Often a table of contents is also stored, along with metadata. A software repository is typically managed by source or version control, or repository managers. Package managers allow automatically installing and updating repositories, sometimes called "packages".
Synaptic, an example of a package manager. A package manager or package-management system is a collection of software tools that automates the process of installing, upgrading, configuring, and removing computer programs for a computer in a consistent manner.
The Python Package Index, abbreviated as PyPI (/ ˌ p aɪ p i ˈ aɪ /) and also known as the Cheese Shop (a reference to the Monty Python's Flying Circus sketch "Cheese Shop"), [2]: 8 [3]: 742 is the official third-party software repository for Python. [4] It is analogous to the CPAN repository for Perl [5]: 36 and to the CRAN repository for R.
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.
The problem is then solved in Python by first installing the APMonitor package with pip install APMonitor or from the following Python code. # Install APMonitor import pip pip . main ([ "install" , "APMonitor" ])