Pocket Primer Series Read Description

Python Tools for Data Scientists Pocket Primer

Paperback
November 2022
9781683928232
More details
  • Publisher
    Mercury Learning and Information
  • Published
    23rd November
  • ISBN 9781683928232
  • Language English
  • Pages 300 pp.
  • Size 6" x 9"
$41.95
E-Book

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October 2022
9781683928218
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  • Publisher
    Mercury Learning and Information
  • Published
    21st October
  • ISBN 9781683928218
  • Language English
  • Pages 300 pp.
  • Size 6" x 9"
$34.95
Lib E-Book

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October 2022
9781683928225
More details
  • Publisher
    Mercury Learning and Information
  • Published
    21st October
  • ISBN 9781683928225
  • Language English
  • Pages 300 pp.
  • Size 6" x 9"
$109.95

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

1: Introduction to Python
2: Introduction to NumPy
3: Introduction to Pandas
4: Working with Sklearn and SciPy
5: Data Cleaning Tasks
6: Data Visualization
Appendices:
A: Working with Data
B: Working with awk
Index

Oswald Campesato

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).

Python; NumPy; Sklearn; SciPy; awk; data cleaning; data visualization; data science; programming