Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Condizione: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,33
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 60,00
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EUR 57,33
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Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030543706 ISBN 13: 9783030543709
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form.The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the data-aptitude built by the material in this book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,50
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 72,61
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EUR 89,03
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 84,18
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Aggiungi al carrelloCondizione: New. In.
Condizione: New.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030543730 ISBN 13: 9783030543730
Da: moluna, Greven, Germania
EUR 47,23
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 84,17
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 92,89
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Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030543706 ISBN 13: 9783030543709
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 120,45
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Aggiungi al carrelloHardback. Condizione: New. 2020 ed. Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form.The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the "data-aptitude" built by the material in this book.
EUR 50,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Introduction to Data Systems | Building from Python | Thomas Bressoud (u. a.) | Taschenbuch | xxix | Englisch | 2021 | Springer | EAN 9783030543730 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2020
ISBN 10: 3030543706 ISBN 13: 9783030543709
Da: Revaluation Books, Exeter, Regno Unito
EUR 127,72
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Aggiungi al carrelloHardcover. Condizione: Brand New. 857 pages. 9.25x6.10x2.05 inches. In Stock.
EUR 133,27
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030543706 ISBN 13: 9783030543709
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 136,06
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form.The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the data-aptitude built by the material in this book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030543706 ISBN 13: 9783030543709
Da: Rarewaves.com UK, London, Regno Unito
EUR 112,81
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2020 ed. Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations, and constraints of each data form.The starting point of the book is a foundation in Python programming found in introductory computer science classes or short courses on the language, and so does not require prerequisites of data structures, algorithms, or other courses. This makes the material accessible to students early in their educational career and equips them with understanding and skills that can be applied in computer science, data science/data analytics, and information technology programs as well as for internships and research experiences. This book is accessible to a wide variety of students. By drawing together content normally spread across upper level computer science courses, it offers a single source providing the essentials for data science practitioners. In our increasingly data-centric world, students from all domains will benefit from the "data-aptitude" built by the material in this book.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.