IPython Interactive Computing and Visualization Cookbook: Harness IPython for powerful scientific computing and Python data visualization with this . more than 100 practical data science recipes

A comprehensive tutorial covering the state-of-the-art methods you can utilize in IPython, including various real-world examples to help you learn in a practical and effective manner. The book illustrates topics in applied mathematics, scientific modeling, and statistical learning.

This book is intended for anyone who wants to use Python as a scripting language for general purpose programming and data analysis. You will find the book particularly useful if you're an experienced Python user looking to take the next step, or if you want to quickly get up to speed with IPython's unique features for data visualization.

Dr. Cyrille Rossant is a French researcher in computational neuroscience. A graduate of the Ecole Normale Supérieure, Paris, where he studied Mathematics and Computer Science, he has also worked at Princeton University and University College London. He is interested in all kinds of relationships between brains and computers, including models of neural processing, high-performance simulations of neural networks, and analysis of neurophysiologic data.

He has also worked on parallel computing and high-performance visualization technologies for Python, and he is a core developer of Vispy, a visualization package. He is the author of Learning IPython for Interactive Computing and Data Visualization, Packt Publishing, the prequel of this cookbook.