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NumPy Interoperable NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries
NumPy: the absolute basics for beginners — NumPy v2. 3 Manual NumPy: the absolute basics for beginners # Welcome to the absolute beginner’s guide to NumPy! NumPy (Num erical Py thon) is an open source Python library that’s widely used in science and engineering
NumPy documentation — NumPy v2. 3 Manual Version: 2 3 Download documentation: Historical versions of documentation Useful links: Installation | Source Repository | Issue Tracker | Q A Support | Mailing List NumPy is the fundamental package for scientific computing in Python It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines
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 Python, NumPy, and many other commonly used packages for scientific computing and data science
What is NumPy? — NumPy v2. 3 Manual What is NumPy? # NumPy is the fundamental package for scientific computing in Python It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I O, discrete Fourier transforms, basic
NumPy - Learn Scientific Python Lectures Besides covering NumPy, these lectures offer a broader introduction to the scientific Python ecosystem NumPy: the absolute basics for beginners NumPy tutorial by Nicolas Rougier Stanford CS231 by Justin Johnson NumPy User Guide Books Guide to NumPy by Travis E Oliphant This is the first and free edition of the book