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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]
Some package managers, including pip, use PyPI as the default source for packages and their dependencies. [6] [7] As of 6 May 2024, more than 530,000 Python packages are available. PyPI primarily hosts Python packages in the form of source archives, called "sdists", or of "wheels" [8] that may contain binary modules from a compiled language.
Whereas packages are a single archive file in a well-defined format (ex. NuGet) that contain files appropriate for the package type (ex. DLL, PDB). [33] Many artifacts result from builds but other types are crucial as well. Packages are essentially one of two things: a library or an application. [34]
LuaRocks: a programming library and package manager for Lua; Maven: a package manager and build tool for Java; npm: a programming library and package manager for Node.js and JavaScript; NuGet: the package manager for the Microsoft development platform including .NET Framework and Xamarin; opam: a source-based package manager for OCaml;
Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total. This list may not reflect recent changes .
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 duplicity backup software written in python allows for incremental backups with simple storage backend services like local file system, sftp, Amazon S3 and many others. It utilizes librsync to generate delta data against signatures of the previous file versions, encrypting them using gpg , and storing them on the backend.
Mojo was created for an easy transition from Python. The language has syntax similar to Python's, with inferred static typing, [24] and allows users to import Python modules. [25] It uses LLVM and MLIR as its compilation backend. [6] [26] [27] The language also intends to add a foreign function interface to call C/C++ and Python