Items related to Python Tools for Data Scientists Pocket Primer

Python Tools for Data Scientists Pocket Primer - Softcover

Campesato, Oswald

 
9781683928232: Python Tools for Data Scientists Pocket Primer
Softcover
ISBN 10: 1683928237 ISBN 13: 9781683928232
Publisher: Mercury Learning and Information, 2022

Synopsis

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

"synopsis" may belong to another edition of this title.

About the Author

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

"About this title" may belong to another edition of this title.

Publisher
Mercury Learning and Information
Publication date
2022
Language
English
ISBN 10 
1683928237
ISBN 13 
9781683928232
Binding
Perfect Paperback
Edition number
1
Number of pages
300