Web Reference: NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy documentation # Version: 2.4 Download documentation: Historical versions of documentation Useful links: Home | Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List NumPy is the fundamental package for scientific computing in Python. 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.
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