Python Tools for Data Scientists Pocket Primer / / Oswald Campesato.

• VerfasserIn: Campesato, Oswald,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2022]; ©2022
• Year of Publication: 2022
• Language: English
• Series: Pocket Primer
• Physical Description: 1 online resource (300 p.)
• Other title: 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781683928225
• 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 provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy 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 SciPy. Companion files with source code are available. FEATURES:Introduces Python, NumPy, Sklearn, SciPy, and awkCovers data cleaning tasks and data visualizationFeatures numerous code samples throughoutIncludes companion files with source code