A step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.
What you will learn
Install NumPy and discover its arrays and features
Perform data analysis and complex array operations with NumPy
Analyze time series and perform signal processing
Understand NumPy modules and explore the scientific Python ecosystem
Improve the performance of calculations with clean and efficient NumPy code
Analyze large data sets using statistical functions and execute complex linear algebra and mathematical computations