Understanding Programming Languages
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Understanding Programming Languages
This book compares constructs from C with constructs from Ada in terms of levels of abstractions. Studying these languages provides a firm foundation for an extensive examination of object-oriented language support in C++ and Ada 95. It explains what alternatives are available to the language designer, how language constructs should be used in terms of safety and readability, how language constructs are implemented and which ones can be efficiently compiled and the role of language in expressing and enforcing abstractions. The final chapters introduce functional (ML) and logic (Prolog) programming languages to demonstrate that imperative languages are not conceptual necessities for programming.
Understanding Programming Languages
This book is about describing the meaning of programming languages. The author teaches the skill of writing semantic descriptions as an efficient way to understand the features of a language. While a compiler or an interpreter offers a form of formal description of a language, it is not something that can be used as a basis for reasoning about that language nor can it serve as a definition of a programming language itself since this must allow a range of implementations. By writing a formal semantics of a language a designer can yield a far shorter description and tease out, analyse and record design choices. Early in the book the author introduces a simple notation, a meta-language, used to record descriptions of the semantics of languages. In a practical approach, he considers dozens of issues that arise in current programming languages and the key techniques that must be mastered in order to write the required formal semantic descriptions. The book concludes with a discussion of the eight key challenges: delimiting a language (concrete representation), delimiting the abstract content of a language, recording semantics (deterministic languages), operational semantics (non-determinism), context dependency, modelling sharing, modelling concurrency, and modelling exits. The content is class-tested and suitable for final-year undergraduate and postgraduate courses. It is also suitable for any designer who wants to understand languages at a deep level. Most chapters offer projects, some of these quite advanced exercises that ask for complete descriptions of languages, and the book is supported throughout with pointers to further reading and resources. As a prerequisite the reader should know at least one imperative high-level language and have some knowledge of discrete mathematics notation for logic and set theory.
Understanding Programming Languages
Understanding Programming Languages provides A comprehensive look at the design elements of programming languages. It will enable the developers, managers and architects to compre programming languages using the listed design elements to decide which language is the best suited to the solution being developed. It covers over 75 elements of programming languages. From imperative, functional, concurrent, domain-specific & multi-paradigm languages, type systems, continuations, currying, partial application, lambda expressions, turing completeness, virtual machine comparisons to name just a dozen of over 75 topics covered. Basic knowledge of programming is assumed and familiarity with the most common languages available will help the reader grasp the context of the topic being discussed. Makes a good casual read. And is an essential part of a software professionals vocabulary and engineering practice. The first step to polyglot programmers, improving code quality and a refresher for those working in software engineering. Who is this book for? This book is for Developers, Architects and Managers who want to understand and compare various programming languages to choose the best one(s) for their solution development.