9783030543709 - introduction to data systems: building from python di bressoud, thomas; white, david (23 risultati)
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Da: Greenworld Books, arlington, TX, U.S.A.Greenworld Books
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hardcover. Condizione: 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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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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hardcover. Condizione: New. 1st ed. 2020. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Hardback. 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 thro…ugh 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.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2020
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systemscovers data acquisition starting with local files, then progresses to data acquired from relati…onal databases,from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally definedsets 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 scienceclasses 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 equipsthem 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 isaccessible to a wide variety of students. By drawing together content normally spread across upper levelcomputer science courses, it offers a single source providing the essentials for data science practitioners. Inour increasingly data-centric world, students from all domains will benefit from the 'data-aptitude' built bythe material in this book.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 857 pages. 9.25x6.10x2.05 inches. In Stock.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: New. New. book.
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 860 | Sprache: Englisch | Produktart: Bücher | 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 dat…a 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.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. 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 thro…ugh 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.
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systemscovers data acquisition starting with local files, then progresses to data acqu…ired from relational databases,from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally definedsets 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 scienceclasses 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 equipsthem 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 isaccessible to a wide variety of students. By drawing together content normally spread across upper levelcomputer science courses, it offers a single source providing the essentials for data science practitioners. Inour increasingly data-centric world, students from all domains will benefit from the 'data-aptitude' built bythe material in this book. 860 pp. Englisch.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. With minimal prerequisites (Intro CS or Foundations of Python Programming), students in computer science or data science/data analytics are introduced to data systems, and develop data-aptitude early in their undergr…aduate career, so that such understanding.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 80,24
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 acquire…d 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 860 pp. Englisch.
