This book aims to provide an introduction to the use and application of the Python NumPy library. NumPy is a large library, and this book introduces many of its most important features in the form of recipes for performing certain functions. This provides a practical grounding that can be used as a basis for understanding the extensive documentation available from the NumPy website.
This book is primarily aimed at developers who have at least a small amount of Python experience, who wish to use the NumPy library for data analysis, machine learning, image or sound processing, or any other mathematical or scientific application. It only requires a basic understanding of Python programming.
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