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  2. Nuitka - Wikipedia

    en.wikipedia.org/wiki/Nuitka

    Nuitka (pronounced as / njuːtkʌ / [ 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][ 4] Nuitka initially was designed to produce ...

  3. CPython - Wikipedia

    en.wikipedia.org/wiki/CPython

    CPython is the reference implementation of the Python programming language. Written in C and Python, CPython is the default and most widely used implementation of the Python language. CPython can be defined as both an interpreter and a compiler as it compiles Python code into bytecode before interpreting it. It has a foreign function interface ...

  4. Just-in-time compilation - Wikipedia

    en.wikipedia.org/wiki/Just-in-time_compilation

    e. In computing, just-in-time ( JIT) compilation (also dynamic translation or run-time compilations) [ 1] is compilation (of computer code) during execution of a program (at run time) rather than before execution. [ 2] This may consist of source code translation but is more commonly bytecode translation to machine code, which is then executed ...

  5. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.

  6. Theano (software) - Wikipedia

    en.wikipedia.org/wiki/Theano_(software)

    Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones. [ 2] In Theano, computations are expressed using a NumPy -esque syntax and compiled to run efficiently on either CPU or GPU architectures.

  7. List of compilers - Wikipedia

    en.wikipedia.org/wiki/List_of_compilers

    Research compilers are mostly not robust or complete enough to handle real, large applications. They are used mostly for fast prototyping new language features and new optimizations in research areas. Open64: A popular research compiler. Open64 merges the open source changes from the PathScale compiler mentioned.

  8. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [ 70] and metaobjects ). [ 71] Many other paradigms are supported via extensions, including design by ...

  9. Fyne (software) - Wikipedia

    en.wikipedia.org/wiki/Fyne_(software)

    Fyne is a free and open-source cross-platform widget toolkit for creating graphical user interfaces (GUIs) across desktop and mobile platforms. It is designed to enable developers to build applications that run on multiple desktop and mobile platforms/versions from a single code base. [ 2] Fyne uses OpenGL to provide cross-platform graphics.