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  1. NumPy

    Nearly every scientist working in Python draws on the power of NumPy. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to …

  2. NumPy documentation — NumPy v2.4 Manual

    The reference guide contains a detailed description of the functions, modules, and objects included in NumPy. The reference describes how the methods work and which parameters …

  3. NumPy - Learn

    Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.

  4. NumPy - Installing NumPy

    The only prerequisite for installing NumPy is Python itself. If you don’t have Python yet and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes …

  5. NumPy: the absolute basics for beginners — NumPy v2.4 Manual

    The NumPy library contains multidimensional array data structures, such as the homogeneous, N-dimensional ndarray, and a large library of functions that operate efficiently on these data …

  6. GitHub - numpy/numpy: The fundamental package for scientific …

    NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and …

  7. NumPy reference — NumPy v2.4 Manual

    4 days ago · NumPy reference # Release: 2.4 Date: December 21, 2025 This reference manual details functions, modules, and objects included in NumPy, describing what they are and what …

  8. NumPy Tutorial - W3Schools

    NumPy is a Python library. NumPy is used for working with arrays. NumPy is short for "Numerical Python".

  9. NumPy - Wikipedia

    NumPy (pronounced / ˈnʌmpaɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection …

  10. Как скачать и установить библиотеку NumPy для Python: …

    Jan 6, 2025 · Если вы планируете работать с данными, то знание NumPy — это не просто полезный навык, а необходимость. Теперь, когда мы понимаем, зачем нам нужен …