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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: 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 …

  4. 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.

  5. NumPy reference — NumPy v2.4 Manual

    Dec 21, 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 user guide — NumPy v2.4 Manual

    NumPy user guide # This guide is an overview and explains the important features; details are found in NumPy reference.

  7. Data types — NumPy v2.4 Manual

    NumPy numerical types are instances of numpy.dtype (data-type) objects, each having unique characteristics. Once you have imported NumPy using import numpy as np you can create …

  8. What is NumPy? — NumPy v2.5.dev0 Manual

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

  9. 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 …

  10. NumPy fundamentals — NumPy v2.4 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.