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Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: SOME ] [ Writing: NONE ] [ Edition: first ] Publisher: O'Reilly Media Pub Date: 12/16/2016 Binding: Paperback Pages: 672 first edition.
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Published by O'Reilly Media (edition 2), 2023
ISBN 10: 1098121228 ISBN 13: 9781098121228
Language: English
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Published by O'Reilly Media (edition 2), 2023
ISBN 10: 1098121228 ISBN 13: 9781098121228
Language: English
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Add to basketPaperback. Condition: USED BOOKS. USED BOOKS! Fast Delivery International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-14 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Published by O'Reilly Media 1/31/2023, 2023
ISBN 10: 1098121228 ISBN 13: 9781098121228
Language: English
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Paperback or Softback. Condition: New. Python Data Science Handbook: Essential Tools for Working with Data 2.15. Book.
Published by O'Reilly Media, Inc., Sebastopol, CA, 2017
ISBN 10: 1491912057 ISBN 13: 9781491912058
Language: English
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Add to basketPaperback. Condition: Very Good. Paperback in very good condition. Reading crease front side. Corners are slightly bumped and rubbed. A few light marks on page block face. Covers are clean, binding is sound and pages are clear. LW. Used.
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Add to basketPaperback. Condition: USED BOOKS. USED BOOKS! Fast Delivery International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-14 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Paperback. Condition: New. 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.With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms.
Published by O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098121228 ISBN 13: 9781098121228
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. 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.With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by O'Reilly Media 2022-12-31, 2022
ISBN 10: 1098121228 ISBN 13: 9781098121228
Language: English
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Add to basketCondition: New. 2022. 2nd Edition. Paperback. . . . . .
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