<div><p><i>Python Data Science Handbook</i> provides a reference to the solutions of commonly seen computational problems for both traditional and data scientists who use Python to enable their research. These scientists face a wide diversity of data analysis problems: e.g., how can I read this data format into my script? How can I visualize this type of data? How can I numerically solve this set of equations? How can I optimize this complicated function?</p><p>This book is a reference for day-to-day Python-enabled science. It provides hundreds of short code recipes demonstrating solutions to problems common in computational and statistical approaches to science, making use of the breadth of free and open data software available for Python.</p></div>