Python Tools for Data Scientists Pocket Primer
Author | : Oswald Campesato |
Publisher | : Mercury Learning and Information |
Total Pages | : 434 |
Release | : 2022-10-21 |
ISBN-10 | : 9781683928218 |
ISBN-13 | : 1683928210 |
Rating | : 4/5 (210 Downloads) |
Download or read book Python Tools for Data Scientists Pocket Primer written by Oswald Campesato and published by Mercury Learning and Information. This book was released on 2022-10-21 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, NumPy, Sklearn, SciPy, and awk Covers data cleaning tasks and data visualization Features numerous code samples throughout Includes companion files with source code