PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Zustand: New. In this practical book, C.J. Date provides a model for type inheritance that is not programming-language-specific. This model provides programmers who specialize in one language the broader background to understand and implement types in other languages. Exercises are included with most chapters. Num Pages: 572 pages, black & white illustrations. BIC Classification: UM. Category: (P) Professional & Vocational. Dimension: 182 x 236 x 33. Weight in Grams: 980. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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In den WarenkorbPaperback. Zustand: Brand New. 550 pages. 9.50x7.00x1.00 inches. In Stock.
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In den WarenkorbZustand: New. In this practical book, C.J. Date provides a model for type inheritance that is not programming-language-specific. This model provides programmers who specialize in one language the broader background to understand and implement types in other languages. Ex.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Type inheritance is that phenomenon according to which we can say, for example, that every square is also a rectangle, and so properties that apply to rectangles in general apply to squares in particular. In other words, squares are a subtype of rectangles, and rectangles are a supertype of squares. Recognizing and acting upon such subtype / supertype relationships provides numerous benefits: Certainly it can help in data modeling, and it can also provide for code reuse in applications. For these reasons, many languages, including the standard database language SQL, have long supported such relationships. However, there doesn't seem to be any consensus in the community at large on a formal, rigorous, and abstract model of inheritance. This book proposes such a model, one that enjoys several advantages over other approaches, not the least of which it is that it's fully compatible with the well known relational model of data.