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  2. Mojo (programming language) - Wikipedia

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

    Mojo was created for an easy transition from Python. The language has syntax similar to Python's, with inferred static typing, [30] and allows users to import Python modules. [31] It uses LLVM and MLIR as its compilation backend. [12] [32] [33] The language also intends to add a foreign function interface to call C/C++ and Python

  3. CatBoost - Wikipedia

    en.wikipedia.org/wiki/Catboost

    It works on Linux, Windows, macOS, and is available in Python, [8] R, [9] and models built using CatBoost can be used for predictions in C++, Java, [10] C#, Rust, Core ML, ONNX, and PMML. The source code is licensed under Apache License and available on GitHub. [6] InfoWorld magazine awarded the library "The best machine learning tools" in 2017.

  4. Numba - Wikipedia

    en.wikipedia.org/wiki/Numba

    Numba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package.It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.

  5. Async/await - Wikipedia

    en.wikipedia.org/wiki/Async/await

    [8] Python added support for async/await with version 3.5 in 2015 [9] adding 2 new keywords, async and await. TypeScript added support for async/await with version 1.7 in 2015. [10] JavaScript added support for async/await in 2017 as part of ECMAScript 2017 JavaScript edition.

  6. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    October 27, 2021, GitHub released the GitHub Copilot Neovim plugin as a public repository. [6] GitHub announced Copilot's availability for the Visual Studio 2022 IDE on March 29, 2022. [7] On June 21, 2022, GitHub announced that Copilot was out of "technical preview", and is available as a subscription-based service for individual developers. [8]

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})

  8. Nuitka - Wikipedia

    en.wikipedia.org/wiki/Nuitka

    Nuitka (pronounced as / n juː t k ʌ / [2]) is a source-to-source compiler which compiles Python code to C source code, applying some compile-time optimizations in the process such as constant folding and propagation, built-in call prediction, type inference, and conditional statement execution.

  9. Object-oriented programming - Wikipedia

    en.wikipedia.org/wiki/Object-oriented_programming

    The class defines the data format or type (including member variables and their types) and available procedures (class methods or member functions) for a given type or class of object. Objects are created by calling a special type of method in the class known as a constructor .