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Python Tools for Data Scientists Pocket Primer - by Oswald Campesato (Paperback)
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About this item
Highlights
- No detailed description available for "Python Tools for Data Scientists Pocket Primer".
- About the Author: Campesato Oswald: Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP.
- 300 Pages
- Computers + Internet, Programming Languages
- Series Name: Pocket Primer
Description
About the Book
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 SklearnBook Synopsis
No detailed description available for "Python Tools for Data Scientists Pocket Primer".About the Author
Campesato Oswald:Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
Dimensions (Overall): 8.98 Inches (H) x 5.91 Inches (W) x .47 Inches (D)
Weight: 1.1 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 300
Genre: Computers + Internet
Sub-Genre: Programming Languages
Series Title: Pocket Primer
Publisher: Mercury Learning and Information
Theme: Python
Format: Paperback
Author: Oswald Campesato
Language: English
Street Date: December 7, 2022
TCIN: 1007269470
UPC: 9781683928232
Item Number (DPCI): 247-46-6069
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.47 inches length x 5.91 inches width x 8.98 inches height
Estimated ship weight: 1.1 pounds
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