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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]
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.
Due to installation issues (permissions needed for system installation, lagging system packages, etc.), there is hererocks, a package available at the Python Package Index that can be installed via pip and provides installations of Lua and LuaRocks into a local directory upon demand. [5]
Conda was developed to address dependency conflicts native to the pip package manager, which would automatically install any dependent Python packages without checking for conflicts with previously installed packages [39] (until its version 20.3, which later implemented consistent dependency resolution). [40]
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
In addition, the package solves Linear programming (LP), Quadratic programming (QP), Quadratically constrained quadratic program (QCQP), Nonlinear programming (NLP), Mixed integer programming (MIP), and Mixed integer linear programming (MILP). GEKKO is available in Python and installed with pip from PyPI of the Python Software Foundation.
ArviZ (/ ˈ ɑː r v ɪ z / AR-vees) is a Python package for exploratory analysis of Bayesian models. [2] [3] [4] [5] It is specifically designed to work with the ...
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.