NumPy is an essential package to use for any scientific computing with Python. It can also be used as an efficient multidimensional container of generic data that allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Learning NumPy Array will enable readers to write efficient code that is closely associated with mathematics. The book starts from the installation of NumPy, and progresses on to various scientific computing projects.
This book is ideal for programmers, scientists, and engineers with basic Python computational knowledge. It will also help readers analyze large data to enhance the performance of calculations with clean NumPy code.
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