Python Data Science Handbook by Jake VanderPlasCall Number: KG 005.133 PYT 51 & online
Publication Date: 2016
Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.