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  2. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS.

  3. Just-in-time compilation - Wikipedia

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

    MSVC. v. t. 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 ...

  4. List of compilers - Wikipedia

    en.wikipedia.org/wiki/List_of_compilers

    Research 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.

  5. Interpreter (computing) - Wikipedia

    en.wikipedia.org/wiki/Interpreter_(computing)

    Perl, Raku, Python, MATLAB, and Ruby are examples of the second, while UCSD Pascal is an example of the third type. Source programs are compiled ahead of time and stored as machine independent code, which is then linked at run-time and executed by an interpreter and/or compiler (for JIT systems).

  6. Python (programming language) - Wikipedia

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

    Python, since 3.7, only supports operating systems with multi-threading support. Other implementations. PyPy is a fast, compliant interpreter of Python 2.7 and 3.8. Its just-in-time compiler often brings a significant speed improvement over CPython, but some libraries written in C cannot be used with it.

  7. PyPy - Wikipedia

    en.wikipedia.org/wiki/PyPy

    PyPy. PyPy ( / ˈpaɪpaɪ /) is an implementation of the Python programming language. [2] PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. [3] Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when ...

  8. 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 ...

  9. Translator (computing) - Wikipedia

    en.wikipedia.org/wiki/Translator_(computing)

    t. e. A translator or programming language processor is a computer program that converts the programming instructions written in human convenient form into machine language codes that the computers understand and process. It is a generic term that can refer to a compiler, assembler, or interpreter —anything that converts code from one ...