Python Data Science Handbook

Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of 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.