Python Tools for Data Scientists Pocket Primer

by Oswald Campesato

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available.

FEATURES:
Introduces Python,...

• Format: Paperback
• Language: English
• ISBN: 1683928237
• ISBN13: 9781683928232
• Release Date: November 2022
• Publisher: Mercury Learning and Information
• Length: 300 Pages
• Weight: 1.10 lbs.
• Dimensions: 0.5" x 5.9" x 9.0"