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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.
Edison Design Group: provides production-quality front end compilers for C, C++, and Java (a number of the compilers listed on this page use front end source code from Edison Design Group [111]). Additionally, Edison Design Group makes their proprietary software available for research uses.
Furthermore, as referenced above, the following block of C is from the GNU Compiler and shows the inline assembly ability of C. Per the GCC documentation this is a simple copy and addition code. This code displays the interaction between a generally high level language like C and its middle/low level counter part Assembly.
This is an accepted version of this page This is the latest accepted revision, reviewed on 10 January 2025. General-purpose programming language "C programming language" redirects here. For the book, see The C Programming Language. Not to be confused with C++ or C#. C Logotype used on the cover of the first edition of The C Programming Language Paradigm Multi-paradigm: imperative (procedural ...
Numba is used from Python, as a tool (enabled by adding a decorator to relevant Python code), a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Pythran compiles a subset of Python 3 to C++ . [165] RPython can be compiled to C, and is used to build the PyPy interpreter of Python.
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.
Nuitka (pronounced as / n juː t k ʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution.
The predecessor to C, B, was developed largely for a specific purpose: systems programming. [8] By contrast, C has found use in a variety of computational domains, such as operating systems, device drivers, application software, and embedded systems. C is suitable for use in a variety of areas because of its generality.