This book is intended for those who plan to become data scientists as well as anyonewho needs to perform data cleaning tasks using Pandas and Num Py. It contains a variety of code samples and features of Num Py and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code areavailable for downloading from the publisher.
FEATURES:
- Provides the reader with numerous code samples for Pandas and Num Py programming concepts, and an introduction to statistical concepts and data visualization
- Includes an introductory chapter on Python
- Companion files with code
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Format PDF ● Pages 200 ● ISBN 9781683928256 ● Maison d’édition Mercury Learning and Information ● Publié 2022 ● Téléchargeable 3 fois ● Devise EUR ● ID 8809029 ● Protection contre la copie Adobe DRM
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