Python Tools for Data Scientists Pocket Primer / / 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 chapte...
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Superior document: | Title is part of eBook package: De Gruyter MLI AI COLLECTION |
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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | Pocket Primer
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Online Access: | |
Physical Description: | 1 online resource (300 p.) |
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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 |
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Summary: | 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 awk Covers data cleaning tasks and data visualization Features numerous code samples throughout Includes companion files with source code |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9781683928225 9783111573533 9783111564340 9783111574073 9783111502496 |
DOI: | 10.1515/9781683928225 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Oswald Campesato. |