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numpy This page features the latest and most popular books on NumPy, an essential Python library for scientific computing and working with multidimensional data arrays. With 400+ pages and over 100 code examples, the books provide in-depth knowledge on NumPy array structures, advanced indexing techniques, broadcasting, vectorization, linear algebra operations, parallel computing with NumPy, and integrating C/C++ code for faster computations. The books are written by industry experts and cater to data analysts, data engineers, data scientists, and Python developers looking to enhance their data analysis skills.

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