9783030543709 - introduction to data systems: building from python de white, david; bressoud, thomas (24 resultados)
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Librería: Greenworld Books, arlington, TX, Estados Unidos de AmericaGreenworld Books
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hardcover. Condición: 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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Hardcover. Condición: 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 th…rough 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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Hardback. Condición: 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 throu…gh 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.
Idioma: Inglés
Editorial: Springer International Publishing, Springer International Publishing 2020
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: 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 relatio…nal 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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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 857 pages. 9.25x6.10x2.05 inches. In Stock.
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Hardcover. Condición: 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 th…rough 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.
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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Condición: 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 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.
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Hardback. Condición: 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 throu…gh 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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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: 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 acqui…red 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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Condición: 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 undergra…duate career, so that such understanding.
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Buch. Condición: 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 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 860 pp. Englisch.
