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Python Data Science Hands on by Vasiliev Yuli (22 results)
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Python for Data Science: A Hands-On Introduction
Language: English
Published by No Starch Press (edition ), 2022
ISBN 10: 1718502206 ISBN 13: 9781718502208
Paperback. Condition: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Python for Data Science: A Hands-On Introduction
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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paperback. Condition: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.
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Python for Data Science: A Hands-On Introduction
Seller: ChristianBookbag / Beans Books, Inc., Westlake, OH, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: As New. New with remainder mark. Buy multiples from our store to save on shipping.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: New.
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Paperback. Condition: New.
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Condition: New. Limited Copies Available - New Condition - Never Used - DOES NOT INCLUDE ANY CDs OR ACCESS CODES IF APPLICABLE.
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Condition: new.
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Python For Data Science: A Hands-On Introduction
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2022. Paperback. . . . . .
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Python for Data Science : A Hands-on Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: Brand New. 180 pages. 9.25x7.00x0.79 inches. In Stock.
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Condition: New.
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Python for Data Science: A Hands-On Introduction
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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Python for Data Science : A Hands-on Introduction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Python for Data Science | A Hands-On Introduction | Yuli Vasiliev | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Random House LLC US | EAN 9781718502208 | Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, 65189 Wiesbaden, info[at]bod[dot]de | Anbieter: preigu.
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Python for Data Science : A Hands-On Introduction
Language: English
Published by Random House LLC US Aug 2022, 2022
ISBN 10: 1718502206 ISBN 13: 9781718502208
Taschenbuch. Condition: Neu. Neuware - A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.You will discover Python s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and more. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.
