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  2. Ninja (build system) - Wikipedia

    en.wikipedia.org/wiki/Ninja_(build_system)

    Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.

  3. Python (programming language) - Wikipedia

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

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

  4. FastAPI - Wikipedia

    en.wikipedia.org/wiki/FastAPI

    FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate , serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [ 4 ]

  5. Tool-assisted speedrun - Wikipedia

    en.wikipedia.org/wiki/Tool-assisted_speedrun

    Time attack — a mode which allows the player to finish a game (or a part of it) as fast as possible, saving record times. Score attack — the attempt to reach a record logged point value in a game. Electronic sports — video games that are played as competitive sports. Piano roll; Meta Runner — a web series inspired by the tool assisted ...

  6. Fail-fast system - Wikipedia

    en.wikipedia.org/wiki/Fail-fast_system

    In that sense, a fail-fast system will make sure that all the 10 redundant servers fail as soon as possible to make the DevOps react fast. Fail-fast components are often used in situations where failure in one component might not be visible until it leads to failure in another component as a consequence of lazy initialization. e.g.

  7. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]

  8. Scripting language - Wikipedia

    en.wikipedia.org/wiki/Scripting_language

    For example, Autodesk Maya 3D authoring tools embed the Maya Embedded Language, or Blender which uses Python to fill this role. Some other types of applications that need faster feature addition or tweak-and-run cycles (e.g. game engines) also use an embedded language. During the development, this allows them to prototype features faster and ...

  9. Heap's algorithm - Wikipedia

    en.wikipedia.org/wiki/Heap's_algorithm

    A map of the 24 permutations and the 23 swaps used in Heap's algorithm permuting the four letters A (amber), B (blue), C (cyan) and D (dark red) Wheel diagram of all permutations of length = generated by Heap's algorithm, where each permutation is color-coded (1=blue, 2=green, 3=yellow, 4=red).