This book takes readers through all aspects of NumPy, the most popular scientific computing library. The book not only introduces the installation, use and various related concepts of NumPy, but also introduces how to use this latest open source software library to write readable, efficient and fast code in a way that is as close to traditional mathematical language as possible. Finally, it explores several scientific computing projects related to NumPy. In addition, this book will lay a solid foundation for you to master NumPy arrays and general functions, and will also teach you to use Matplotlib for drawing through examples and understand projects related to SciPy. This book will help you: • Learn advanced indexing techniques and linear algebra knowledge • Understand the adjustment of array shape and image size • Explore broadcasting mechanisms and histograms • Analyze NumPy code and present the analysis results in a visual way • Use Cython to speed up the code • Use array interfaces to share data • Use general functions and interoperability functions • Learn Matplotlib and SciPy, which are often used with NumPy
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