Programming Languages: Principles and Paradigms

by Allen B. Tucker Jr., Robert E. Noonan

Tucker and Noonan's new approach emphasizes a thorough, hands-on treatment of key issues in programming language design, providing a balanced mix of explanation and experimentation. Opening chapters present the fundamental principals of programming languages, while optional companion chapters provide implementation-based, hands-on experience that delves even deeper. This edition also includes a greatly expanded treatment of the four major programming paradigms, incorporating a number of the most current languages such as Perl and Python. Special topics presented include event-handling, concurrency, and an all-new chapter on correctness. Overall, this edition provides both broad and deep coverage of language design principles and the major paradigms, allowing users the flexibility of choosing what topics to emphasize.

Genres: Computer Science, Nonfiction, Textbooks, Reference, Programming

600 pages, Paperback

First published January 1, 1977

About the author

Allen B. Tucker Jr. is the Anne T. and Robert M. Bass Professor Emeritus at Bowdoin College. He has held similar faculty positions at Georgetown and Colgate Universities. He earned a BA in mathematics from Wesleyan University and an MS and PhD in Computer Science from Northwestern University. He is an ACM Fellow and Distinguished Lecturer.

Professor Tucker has publications in the areas of programming languages, software development, natural language processing, and curriculum development. He has been a Fulbright lecturer at the Ternopil Academy in Ukraine, and a visiting lecturer at the University of Canterbury in New Zealand, Esigelec in France and Boston University in Germany. He is currently an active open source software developer and an advisory board member for the Humanitarian FOSS Project.

Reviews

[Robert Black · Rating 4 out of 5]

Very resourceful and knowledgeable on older programming languages gives a good introduction to many vintage programming languages. A fine work for study in the Early Computer Sciences.