Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of P

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book

Practical Machine Learning for Data Analysis Using Python is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.