English | 2022 | ISBN: 978-1683928232 | 323 pages | True PDF | 9.62 MB
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 awkCovers data cleaning tasks and data visualizationFeatures numerous code samples throughoutIncludes companion files with source code
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Python Tools for Data Scientists Pocket Primer Fast Download
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