Python data science handbook: essential tools for working with data
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More Details
Published:
Sebastopol, CA : O'Reilly, 2022.
Format:
Book
Edition:
Second edition.
Physical Desc:
xxiv, 563 pages : illustrations ; 24 cm
Language:
English
ISBN:
9781098121228, 1098121228, 9781098121228
Notes
General Note
Includes index.
General Note
Previous edition: 2016.
Description
"Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python."--Publisher marketing.
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Citations
APA Citation (style guide)
Vanderplas, J. T. (2022). Python data science handbook: essential tools for working with data. Second edition. O'Reilly.
Chicago / Turabian - Author Date Citation (style guide)Vanderplas, Jacob T. 2022. Python Data Science Handbook: Essential Tools for Working With Data. O'Reilly.
Chicago / Turabian - Humanities Citation (style guide)Vanderplas, Jacob T, Python Data Science Handbook: Essential Tools for Working With Data. O'Reilly, 2022.
MLA Citation (style guide)Vanderplas, Jacob T. Python Data Science Handbook: Essential Tools for Working With Data. Second edition. O'Reilly, 2022.
Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Grouped Work ID:
9b7a5c25-98a6-0273-2a89-775242942b4f
Record Information
| Last Horizon Extract Time | Jun 27, 2025 03:37:47 PM |
|---|---|
| Last File Modification Time | Jun 28, 2025 05:06:44 AM |
| Last Grouped Work Modification Time | Jun 28, 2025 05:03:38 AM |
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