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Besides the default PyPI repository, Pip supports custom repositories as well. [16] Such repositories can be located on an HTTP(s) URL or on a file system location. A custom repository can be specified using the -i or --index-url option, like so: pip install -i https://your-custom-repo/simple <package name> ; or with a filesystem: pip install ...
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.
The Fink project was started in December 2000 by German hacker Christoph Pfisterer. The name Fink is German for finch and is a reference to the name of the macOS core, Darwin; Charles Darwin's study of diversity among finches led him eventually to the concept of natural selection.
Homebrew is a free and open-source software package management system that simplifies the installation of software on Apple's operating system, macOS, as well as Linux.The name is intended to suggest the idea of building software on the Mac depending on the user's taste.
Mac App Store: Official digital distribution platform for OS X apps. Part of OS X 10.7 and available as an update for OS X 10.6; Fink: A port of dpkg, it is one of the earliest package managers for macOS; Homebrew: Command-Line Interface-based package manager, known for its ease-of-use and extensibility.
MacPorts, formerly DarwinPorts, [4] is a package manager for macOS and Darwin.It is an open-source software project that aims to simplify the installation of other open source software. [5]
Anaconda Cloud is a package management service by Anaconda where users can find, access, store and share public and private notebooks, environments, and Conda and PyPI packages. [52] Cloud hosts useful Python packages, notebooks and environments for a wide variety of applications.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...