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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 Distribution Utilities (distutils) Python module was first added to the Python standard library in the 1.6.1 release, in September 2000, and in the 2.0 release, in October 2000, nine years after the first Python release in February 1991, with the goal of simplifying the process of installing third-party Python packages.
This allows an application to request a module/library by a unique name and version number constraints, effectively transferring the responsibility for brokering library/module versions from the applications to the operating system. A shared module can then be placed in a central repository without the risk of breaking applications which are ...
Bisect: binary search of source history for a change that introduced or fixed a regression; Incoming/outgoing: query the differences between the local repository and a remote one (the patches that would be fetched/sent on a pull/push) Grep: search repository for lines matching a pattern
Conda checks everything that has been installed, any version limitations that the user specifies (for example, the user wants a specific package to be at least version 2.1.3), and determines a set of versions for all requested packages and their dependencies that makes the total set compatible with one another.
Although MicroPython fully implements Python language version 3.4 and much of 3.5, it does not implement all language features introduced from 3.5 onwards, [22] though some new syntax from 3.6 and more recent features from later versions, e.g. from 3.8 (assignment expressions) and 3.9. It includes a subset of the standard library.
scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language. [2] It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. [3]
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]