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  2. Nuitka - Wikipedia

    en.wikipedia.org/wiki/Nuitka

    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.

  3. Cython - Wikipedia

    en.wikipedia.org/wiki/Cython

    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.

  4. Source-to-source compiler - Wikipedia

    en.wikipedia.org/wiki/Source-to-source_compiler

    The conversion is aimed primarily at converting the syntax between Objective-C and Swift, and is helped because Apple took efforts to ensure compatibility between Swift and Objective-C runtimes. Runtime Converter [71] PHP: Java: The Runtime Converter is an automatic tool which converts PHP source code into Java source code.

  5. SWIG - Wikipedia

    en.wikipedia.org/wiki/SWIG

    SWIG will compile the interface file and generate code in regular C/C++ and the target programming language. SWIG will generate conversion code for functions with simple arguments; conversion code for complex types of arguments must be written by the programmer.

  6. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Ninja-IDE, free software, written in Python and Qt, Ninja name stands for Ninja-IDE Is Not Just Another IDE; PyCharm, a proprietary and Open Source IDE for Python development. PythonAnywhere, an online IDE and Web hosting service. Python Tools for Visual Studio, Free and open-source plug-in for Visual Studio. Spyder, IDE for scientific programming.

  7. CPython - Wikipedia

    en.wikipedia.org/wiki/CPython

    The SAI was first included in Python 3.11, which was measured to be 25% faster on average than Python 3.10 by the "pyperformance" benchmark suite. [ 12 ] In 2024, an experimental Just-in-time compiler was merged into CPython's main development branch.

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  9. C to HDL - Wikipedia

    en.wikipedia.org/wiki/C_to_HDL

    C-to-VHDL compilers are very useful for large designs or for implementing code that might change in the future. Designing a large application entirely in HDL may be very difficult and time-consuming; the abstraction of a high level language for such a large application will often reduce total development time.