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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.
The Most Popular in NumPy
Hands-On Application Development with PyCharm