👨‍🏫 Tutorial Python Tools for Data Scientists Pocket Primer

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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 E×ρréššions, 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

 

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