Programming Language Pragmatics is the most comprehensive programming language textbook available today. Taking the perspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation, this critically acclaimed and bestselling book has been thoroughly updated to cover the most recent developments in programming language design. With a new chapter on run-time program management and expanded coverage of concurrency, this new edition provides both students and professionals alike with a solid understanding of the most important issues driving software development today.

Classic programming foundations text now updated to familiarize students with the languages they are most likely to encounter in the workforce, including including Java 7, C++, C# 3.0, F#, Fortran 2008, Ada 2005, Scheme R6RS, and Perl 6.

New and expanded coverage of concurrency and run-time systems ensures students and professionals understand the most important advances driving software today.

Includes over 800 numbered examples to help the reader quickly cross-reference and access content.

As a textbook suitable for the classroom or self-study, Michael Scott's Programming Language Pragmatics provides a worthy tour of the theory and practice of how programming languages are run on today's computers. Clearly organized and filled with a wide-ranging perspective on over 40 different languages, this book will be appreciated for its depth and breadth of coverage on an essential topic in computer science.

With references to dozens of programming languages, from Ada to Turing and everything in between (including C, C++, Java, and Perl), this book is a truly in-depth guide to how code is compiled (or interpreted) and executed on computer hardware. Early chapters tend to be slightly more theoretical (with coverage of regular expressions and context-free grammars) and will be most valuable to the computer science student, but much of this book is accessible to anyone seeking to widen their knowledge (especially since recent standards surrounding XML make use of some of the same vocabulary presented here).

The book has a comprehensive discussion of compilation and linking, as well as how data types are implemented in memory. Sections on functional and logical programming (illustrated with Scheme and Prolog, which are often used in AI research) can expand your understanding of how programming languages work. Final sections on the advantages--and complexities--of concurrent processing, plus a nice treatment of code optimization techniques, round out the text here. Each chapter provides numerous exercises, so you can try out the ideas on your own.