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Python Tools for Data Scientists Pocket Primer
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Oswald Campesato
Language:
English
Published/Copyright:
2022
About this 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 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
Author / Editor information
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).
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
November 4, 2022
eBook ISBN:
9781683928225
Paperback published on:
December 7, 2022
Paperback ISBN:
9781683928232
Pages and Images/Illustrations in book
Main content:
300
Keywords for this book
Python; NumPy; Sklearn; SciPy; awk; data cleaning; data visualization; data science; programming
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
