Python 3 and Data Analytics Pocket Primer / / Oswald Campesato.

• Superior document: Title is part of eBook package: De Gruyter MLI AI COLLECTION
• VerfasserIn: Campesato, Oswald,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2021]; ©2021
• Year of Publication: 2021
• Language: English
• Series: Pocket Primer
• Physical Description: 1 online resource (238 p.)
• Other title: Frontmatter --; Contents --; Preface --; Chapter 1. Introduction to Python --; Chapter 2. Working with Data --; Chapter 3. Introduction to NumPy --; Chapter 4. Introduction to Pandas --; Chapter 5. Introduction to Probability and Statistics --; Chapter 6. Data Visualization --; Appendix: Regular Expressions --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683926535; 9783111573533; 9783111564340; 9783111574073; 9783111502496
• DOI: 10.1515/9781683926535
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Oswald Campesato.

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at [e-mail]. Features: Includes a concise introduction to Python 3 Provides a thorough introduction to data and data cleaning Covers NumPy and Pandas Introduces statistical concepts and data visualization (Matplotlib/Seaborn) Features an appendix on regular expressions Includes companion files with source code and figures