Python Tools for Data Scientists Pocket Primer PDF
by Oswald Campesato
Part of the Pocket Primer series
- Information
Description
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
Information
-
Download Now
- Format:PDF
- Pages:300 pages
- Publisher:Mercury Learning & Information
- Publication Date:04/11/2022
- Category:
- ISBN:9781683928225
Information
-
Download Now
- Format:PDF
- Pages:300 pages
- Publisher:Mercury Learning & Information
- Publication Date:04/11/2022
- Category:
- ISBN:9781683928225
