Who this book is for

This book targets researchers, engineers, data scientists, teachers, students, analysts, journalists, economists, and hobbyists interested in data analysis and numerical computing.

Readers familiar with the scientific Python ecosystem will find many resources to sharpen their skills in high-performance interactive computing with IPython and Jupyter.

Readers who need to implement algorithms for domain-specific applications will appreciate the introductions to a wide variety of topics in data analysis and applied mathematics.

Readers who are new to numerical computing with Python should start with the prequel of this book, Learning IPython for Interactive Computing and Data Visualization Second Edition, Packt Publishing published in 2015.