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 Num Py 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 Sci Py. Companion files with source code are available.
FEATURES:
Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of Num Py 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 Sci Py. Companion files with source code are available.
FEATURES:
- Introduces Python, Num Py, Sklearn, Sci Py, and awk
- Covers data cleaning tasks and data visualization
- Features numerous code samples throughout
- Includes companion files with source code
€52.98
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Biçim PDF ● Sayfalar 300 ● ISBN 9781683928225 ● Yayımcı Mercury Learning and Information ● Yayınlanan 2022 ● İndirilebilir 3 kez ● Döviz EUR ● Kimlik 8809027 ● Kopya koruma Adobe DRM
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