Python developers, aspiring data scientists, and analysts who want to get started with scientific computing using Python will find this book to be a useful resource. If you want to learn how to manipulate and visualize your data using the SciPy stack, this book will also help you. A basic understanding of Python programming is all you need to get started.

This book is for readers who want learn more about SciPy in specific topics and gain the basic knowledge required to solve problems. The following are the objectives:

• Tackle sophisticated problems in scientific computing with the SciPy stack
• Get a solid foundation in scientific computing with Python and open source software
• Present common tasks related to SciPy and associated libraries such as NumPy, pandas, and Matplotlib
• Perform mathematical operations and work with the statistical and probability functions in SciPy
• Empower users to further explore the library and find solutions to their own computational needs
• Discuss best practices and efficient methods in the solution of computational problems