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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 v2.3 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 quickstart — NumPy v2.3 Manual

    NumPy’s main object is the homogeneous multidimensional array. It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers.

  5. NumPy reference — NumPy v2.3 Manual

    Jun 9, 2025 · This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do. For learning how to use NumPy, see the complete …

  6. NumPy Documentation

    NumPy 1.19 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1.18 Manual [HTML+zip] [Reference Guide PDF] [User Guide PDF] NumPy 1.17 Manual [HTML+zip] …

  7. NumPy: the absolute basics for beginners — NumPy v2.3 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 …

  8. What is NumPy? — NumPy v2.3 Manual

    What is NumPy? # NumPy is the fundamental package for scientific computing in Python.

  9. NumPy - News

    Dec 8, 2024 · July 12, 2021 – At NumPy, we believe in the power of our community. 1,236 NumPy users from 75 countries participated in our inaugural survey last year. The survey findings …

  10. NumPy fundamentals — NumPy v2.3 Manual

    These documents clarify concepts, design decisions, and technical constraints in NumPy. This is a great place to understand the fundamental NumPy ideas and philosophy.