Python Tools for Data Scientists Pocket Primer
Volume in the series
Publisher:Mercury Learning and Information
Paid access
|Nov 2022
Table of contents
Frontmatter
Contents
Preface
Chapter 1: Introduction to Python
Chapter 2: Introduction to NumPy
Chapter 3: Introduction to Pandas
Chapter 4: Working with Sklearn and Scipy
Chapter 5: Data Cleaning Tasks
Chapter 6: Data Visualization
Appendix A: Working with Data
Appendix B: Working with awk
Index
12 chapters available
PDF ISBN: 978-1-68392-822-5 | E-Pub ISBN: 978-1-68392-821-8 | Paperback ISBN: 978-1-68392-823-2 | DOI: 10.1515/9781683928225
Publisher: Mercury Learning and Information
Copyright owner: © 2022 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2022
Language: English
Pages: 300
Keywords
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