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  2. Python Tools for Visual Studio - Wikipedia

    en.wikipedia.org/wiki/Python_Tools_for_Visual_Studio

    Python Tools for Visual Studio (PTVS) is a free and open-source plug-in for versions of Visual Studio up to VS 2015 providing support for programming in Python. Since VS 2017, it is integrated in VS and called Python Support in Visual Studio. It supports IntelliSense, debugging, profiling, MPI cluster debugging, mixed C++/Python debugging, and ...

  3. Superoptimization - Wikipedia

    en.wikipedia.org/wiki/Superoptimization

    Superoptimization is the process where a compiler automatically finds the optimal sequence for a loop-free sequence of instructions. Real-world compilers generally cannot produce genuinely optimal code, and while most standard compiler optimizations only improve code partly, a superoptimizer's goal is to find the optimal sequence, the canonical form.

  4. Coding conventions - Wikipedia

    en.wikipedia.org/wiki/Coding_conventions

    This prevents unnecessary work which prevents unnecessary cost, both upfront and downstream. This is simply because if there is less code, it is less work not only to create the application, but also to maintain it. Complexity is managed both at the design stage (how the project is architectured) and at the development stage (by having simpler ...

  5. IronPython - Wikipedia

    en.wikipedia.org/wiki/IronPython

    It is free and open-source software, and can be implemented with Python Tools for Visual Studio, which is a free and open-source extension for Microsoft's Visual Studio IDE. [2] [3] IronPython is written entirely in C#, although some of its code is automatically generated by a code generator written in Python.

  6. Program optimization - Wikipedia

    en.wikipedia.org/wiki/Program_optimization

    A general technique to improve performance is to avoid work. A good example is the use of a fast path for common cases, improving performance by avoiding unnecessary work. For example, using a simple text layout algorithm for Latin text, only switching to a complex layout algorithm for complex scripts, such as Devanagari .

  7. CPython - Wikipedia

    en.wikipedia.org/wiki/CPython

    The non-Python library being called to perform the CPU-intensive task is not subject to the GIL and may concurrently execute many threads on multiple processors without restriction. Concurrency of Python code can only be achieved with separate CPython interpreter processes managed by a multitasking operating system.

  8. Pylint - Wikipedia

    en.wikipedia.org/wiki/Pylint

    Pylint is a static code analysis tool for the Python programming language. It is named following a common convention in Python of a "py" prefix, and a nod to the C programming lint program. It follows the style recommended by PEP 8, the Python style guide. [4] It is similar to Pychecker and Pyflakes, but includes the following features:

  9. Python (programming language) - Wikipedia

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

    It's a free compiler, though it also has commercial add-ons (e.g. for hiding source code). Numba is used from Python, as a tool (enabled by adding a decorator to relevant Python code), a JIT compiler that translates a subset of Python and NumPy code into fast machine code. Pythran compiles a subset of Python 3 to C++ . [165]