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  2. Haxe - Wikipedia

    en.wikipedia.org/wiki/Haxe

    ECMAScript, JavaScript, ActionScript, OCaml, Java, C++, PHP, C#, Python, Lua, NekoVM. Haxe is a high-level cross-platform programming language and compiler that can produce applications and source code for many different computing platforms from one code-base. It is free and open-source software, released under an MIT License. [ 2 ]

  3. Jython - Wikipedia

    en.wikipedia.org/wiki/Jython

    Java virtual machine. Type. Python Interpreter. License. Python Software Foundation License (for older releases see License terms) Website. www.jython.org. Jython is an implementation of the Python programming language designed to run on the Java platform. It was known as JPython until 1999.

  4. ISBN. 0-262-51087-1 (2nd ed.) LC Class. QA76.6 .A255 1996. Website. mitpress.mit.edu /sicp. Structure and Interpretation of Computer Programs (SICP) is a computer science textbook by Massachusetts Institute of Technology professors Harold Abelson and Gerald Jay Sussman with Julie Sussman. It is known as the "Wizard Book" in hacker culture. [1]

  5. Python (programming language) - Wikipedia

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

    Numba uses LLVM to compile a subset of Python to machine code. Pythran compiles a subset of Python 3 to C++ . [164] RPython can be compiled to C, and is used to build the PyPy interpreter of Python. The Python → 11l → C++ transpiler [165] compiles a subset of Python 3 to C++ . Specialized:

  6. Machine code - Wikipedia

    en.wikipedia.org/wiki/Machine_code

    Machine code is generally different from bytecode (also known as p-code), which is either executed by an interpreter or itself compiled into machine code for faster (direct) execution. An exception is when a processor is designed to use a particular bytecode directly as its machine code, such as is the case with Java processors .

  7. PyPy - Wikipedia

    en.wikipedia.org/wiki/PyPy

    PyPy (/ ˈ p aɪ p aɪ /) 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 run ...

  8. Interpreter (computing) - Wikipedia

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

    Interpreters were used as early as 1952 to ease programming within the limitations of computers at the time (e.g. a shortage of program storage space, or no native support for floating point numbers). Interpreters were also used to translate between low-level machine languages, allowing code to be written for machines that were still under ...

  9. Source-to-source compiler - Wikipedia

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

    t. e. A source-to-source translator, source-to-source compiler (S2S compiler), transcompiler, or transpiler[1][2][3] is a type of translator that takes the source code of a program written in a programming language as its input and produces an equivalent source code in the same or a different programming language.