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Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
Cython is written in Python and C and works on Windows, macOS, and Linux, producing C source files compatible with CPython 2.6, 2.7, and 3.3 and later versions. The Cython source code that Cython compiles (to C) can use both Python 2 and Python 3 syntax, defaulting to Python 2 syntax in Cython 0.x and Python 3 syntax in Cython 3.x.
Yahoo! Groups uses Python "to maintain its discussion groups" [citation needed] YouTube uses Python "to produce maintainable features in record times, with a minimum of developers" [25] Enthought uses Python as the main language for many custom applications in Geophysics, Financial applications, Astrophysics, simulations for consumer product ...
Performance: While IronPython provides good performance for many applications, it might not be as fast as CPython for some tasks, particularly those that rely heavily on Python's native libraries. Compatibility: IronPython is compatible with Python 2.x, but it does not support Python 3.x features. This means that some newer Python libraries or ...
Kivy is the main framework developed by the Kivy organization, [3] alongside Python for Android, [4] Kivy for iOS, [5] and several other libraries meant to be used on all platforms. In 2012, Kivy got a $5000 grant from the Python Software Foundation for porting it to Python 3.3. [6] Kivy also supports the Raspberry Pi which was funded through ...
SymPy is an open-source Python library for symbolic computation. It provides computer algebra capabilities either as a standalone application, as a library to other applications, or live on the web as SymPy Live [2] or SymPy Gamma. [3] SymPy is simple to install and to inspect because it is written entirely in Python with few dependencies.