Today's world of science and technology is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list. NumPy will give you both speed and high productivity.
"NumPy Cookbook" will teach you all about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, it is free and open source.This book will give you a solid foundation in NumPy arrays and universal functions. You will also learn about plotting with Matplotlib and the related SciPy project through examples.
You will learn about installing and using NumPy and related concepts. At the end of the book, we will explore related scientific computing projects.This book will help you to be productive with NumPy and write clean and fast code
What you will learn from this book :
โข Learn advanced Indexing and linear algebra
โข Know reshaping automatically
โข Dive into Broadcasting and Histograms
โข Profile NumPy code and visualize your profiling results
โข Speed up your code with Cython
โข Use the array interface to expose foreign memory to NumPy
โข Use universal functions and interoperability features
โข Learn about Matplotlib and Scipy which is often used in conjunction with Numpy