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LuaRocks allows installing Lua modules to standard Lua paths as well as to customized locations. For this reason, it is possible to use it to install extensions to any project that uses standard Lua modules, such as the Awesome window manager. Some projects, however, adopted LuaRocks as their recommended solution for managing extensions ...
The Portage system offers the use of "USE flags", which allows users to indicate which software features they would like to include (and exclude) while building packages. For example, there is a USE flag to include DVD support, where available, in packages compiled with the flag enabled.
It ships with most Linux distributions, [230] AmigaOS 4 (using Python 2.7), FreeBSD (as a package), NetBSD, and OpenBSD (as a package) and can be used from the command line (terminal). Many Linux distributions use installers written in Python: Ubuntu uses the Ubiquity installer, while Red Hat Linux and Fedora Linux use the Anaconda installer.
Ubuntu releases are also given code names, using an adjective and an animal with the same first letter – an alliteration, e.g., "Dapper Drake".With the exception of the first two releases, code names are in alphabetical order, and except for the first three releases, the first letters are sequential, allowing a quick determination of which release is newer.
Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 28 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 29 ] which was released on June 26, 2009.
Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]
A particular feature of CPython is that it makes use of a global interpreter lock (GIL) on each CPython interpreter process, which means that within a single process, only one thread may be processing Python bytecode at any one time. [2]
To avoid installing the large SciPy package just to get an array object, this new package was separated and called NumPy. Support for Python 3 was added in 2011 with NumPy version 1.5.0. [15] In 2011, PyPy started development on an implementation of the NumPy API for PyPy. [16] As of 2023, it is not yet fully compatible with NumPy. [17]