Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9811977011 ISBN 13: 9789811977015
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts.Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for data science. In addition, it includes suggestions for further reading. This textbook provides an open-source community via GitHub, and the course materials are licensed for free use under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).More teaching materials including Codes, Datasets, Slides, Syllabus can be found at Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: New.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2023
ISBN 10: 9811977011 ISBN 13: 9789811977015
Da: Revaluation Books, Exeter, Regno Unito
EUR 120,73
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 357 pages. 9.25x6.10x1.02 inches. In Stock.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Jul 2023, 2023
ISBN 10: 9811977011 ISBN 13: 9789811977015
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 80,24
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 360 pp. Englisch.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2023
ISBN 10: 9811977011 ISBN 13: 9789811977015
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 86,97
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.
Lingua: Inglese
Editore: Springer Nature Singapore Jul 2023, 2023
ISBN 10: 9811977011 ISBN 13: 9789811977015
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 80,24
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts.Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for data science. In addition, it includes suggestions for further reading.This textbook provides an open-source community via GitHub, and the course materials are licensed for free use under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). 360 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Publishing House of Electronics Industry|Publishing House of Electronic Industry|Springer, 2023
ISBN 10: 9811977011 ISBN 13: 9789811977015
Da: moluna, Greven, Germania
EUR 68,62
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts.Unlike conventional textbooks, it is based on Markdown and uses full-color .