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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.
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]
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, a package manager used to install and manage Python software packages such as those from the Python Package Index (PyPI) software repository; PiTiVi, a non-linear video editor; Portage, the heart of Gentoo Linux, an advanced package management system based on the BSD-style ports system
It was created for Python programs, but it can package and distribute software for any language (e.g., R), including multi-language projects. [18] The Conda package and environment manager is included in all versions of Anaconda, Miniconda, [51] and Anaconda Repository. [45]
Pydoc can be accessed from a module-specific GUI, [2] from within the Python interpreter, or from a command line shell. [1] [3] Developed by Ka-Ping Yee, [4] [5] it is included by default in all versions of Python since Python 2.1 and is available for download for 1.5.2, 1.6, and 2.0. [3] Pydoc is used to extract documentation from the source ...
IPython 5.x (Long Time Support) series is the last version of IPython to support Python 2. The IPython project pledged to not support Python 2 beyond 2020 [9] by being one of the first projects to join the Python 3 Statement, the 6.x series is only compatible with Python 3 and above. It is still possible though to run an IPython kernel and a ...
The non-Python library being called to perform the CPU-intensive task is not subject to the GIL and may concurrently execute many threads on multiple processors without restriction. Concurrency of Python code can only be achieved with separate CPython interpreter processes managed by a multitasking operating system.