Python 3 and Data Analytics Pocket Primer
Volume in the series
Publisher:Mercury Learning and Information
Paid access
|Apr 2021
Table of contents
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
11 chapters available
PDF ISBN: 978-1-68392-653-5 | E-Pub ISBN: 978-1-68392-652-8 | Paperback ISBN: 978-1-68392-654-2 | DOI: 10.1515/9781683926535
Publisher: Mercury Learning and Information
Copyright owner: © 2023 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2021
Language: English
Pages: 238
Keywords
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