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  2. py2exe - Wikipedia

    en.wikipedia.org/wiki/Py2exe

    py2exe is a Python extension which converts Python scripts (.py) into Microsoft Windows executables (.exe). These executables can run on a system without Python installed. [3] It is the most common tool for doing so.

  3. PyPy - Wikipedia

    en.wikipedia.org/wiki/PyPy

    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 in PyPy. PyPy itself is built using a technique known as meta-tracing, which is a mostly automatic transformation that takes an interpreter as input and produces a tracing just-in-time compiler as ...

  4. Python (programming language) - Wikipedia

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

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  5. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Nuitka – a source-to-source compiler which compiles Python code to C/C++ executables, or source code. Numba – NumPy aware LLVM -based JIT compiler Pyjs – a framework (based on Google Web Toolkit (GWT) concept) for developing client-side Python-based web applications, including a stand-alone Python-to-JavaScript compiler, an Ajax framework ...

  6. IDLE - Wikipedia

    en.wikipedia.org/wiki/IDLE

    IDLE (short for Integrated Development and Learning Environment) [2] [3] is an integrated development environment for Python, which has been bundled with the default implementation of the language since 1.5.2b1. [4] [5] It is packaged as an optional part of the Python packaging with many Linux distributions.

  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. Anaconda (Python distribution) - Wikipedia

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

    Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]

  9. Comparison of integrated development environments - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_integrated...

    Microsoft Visual Studio (formerly Python Tools for Visual Studio [53]) Microsoft 16.9 2021-03-02 Windows: C++ and C#: Windows Forms and WPF, through IronPython: Python tools under Apache License 2.0: Yes Yes Yes No Un­known Un­known Un­known Yes [54] Un­known Un­known Yes Basic refactoring Yes Yes MonoDevelop: Novell and the Mono community ...