9781107180185-110718018X-Programming Languages: Build, Prove, and Compare

Programming Languages: Build, Prove, and Compare

ISBN-13: 9781107180185
ISBN-10: 110718018X
Edition: New
Author: Norman Ramsey
Publication date: 2022
Publisher: Cambridge University Press
Format: Hardcover 600 pages
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ISBN-13: 9781107180185
ISBN-10: 110718018X
Edition: New
Author: Norman Ramsey
Publication date: 2022
Publisher: Cambridge University Press
Format: Hardcover 600 pages

Summary

Programming Languages: Build, Prove, and Compare (ISBN-13: 9781107180185 and ISBN-10: 110718018X), written by authors Norman Ramsey, was published by Cambridge University Press in 2022. With an overall rating of 4.1 stars, it's a notable title among other Programming Languages books. You can easily purchase or rent Programming Languages: Build, Prove, and Compare (Hardcover) from BooksRun, along with many other new and used Programming Languages books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $20.68.

Description

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-and-sweep garbage collection, and arithmetic on arbitrary-precision integers.

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