Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages,…mehr
Programming Language Pragmatics is the most comprehensive programming language textbook available today, with nearly 1000 pages of content in the book, plus hundreds more pages of reference materials and ancillaries online. Michael Scott takes theperspective that language design and language implementation are tightly interconnected, and that neither can be fully understood in isolation. In an approachable, readable style, he discusses more than 50 languages in the context of understanding how code isinterpreted or compiled, providing an organizational framework for learning new languages, regardless of platform. This edition has been thoroughly updated to cover the most recent developments in programming language design and provides both a solid understanding of the most important issues driving software development todayHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Michael L. Scott is a professor and past Chair of the Computer Science Department at the University of Rochester. He is best known for work on synchronization and concurrent data structures: algorithms from his group appear in a wide variety of commercial and open-source systems. A Fellow of the ACM and the IEEE, he shared the 2006 Dijkstra Prize in Distributed Computing. In 2001 he received the University's Robert and Pamela Goergen Award for Distinguished Achievement and Artistry in Undergraduate Teaching.
Inhaltsangabe
I. Foundations 1. Introduction 2. Programming Language Syntax 3. Names, Scopes, Bindings 4. Semantic Analysis 5. Target Machine Architecture II. Core Issues in Language Design 6. Control Flow 7. Data Types 8. Composite Types 9. Subroutines and Control Abstraction 10. Data Abstraction and Object Orientation III. Alternative Programming Models 11. Functional Languages 12. Logic Languages 13. Concurrency 14. Scripting Languages IV. A Closer Look at Implementation 15. Building a Runnable Program 16. Run-time Program Management 17. Code Improvement
I. Foundations 1. Introduction 2. Programming Language Syntax 3. Names, Scopes, Bindings 4. Semantic Analysis 5. Target Machine Architecture
II. Core Issues in Language Design 6. Control Flow 7. Data Types 8. Composite Types 9. Subroutines and Control Abstraction 10. Data Abstraction and Object Orientation
III. Alternative Programming Models 11. Functional Languages 12. Logic Languages 13. Concurrency 14. Scripting Languages
IV. A Closer Look at Implementation 15. Building a Runnable Program 16. Run-time Program Management 17. Code Improvement
I. Foundations 1. Introduction 2. Programming Language Syntax 3. Names, Scopes, Bindings 4. Semantic Analysis 5. Target Machine Architecture II. Core Issues in Language Design 6. Control Flow 7. Data Types 8. Composite Types 9. Subroutines and Control Abstraction 10. Data Abstraction and Object Orientation III. Alternative Programming Models 11. Functional Languages 12. Logic Languages 13. Concurrency 14. Scripting Languages IV. A Closer Look at Implementation 15. Building a Runnable Program 16. Run-time Program Management 17. Code Improvement
I. Foundations 1. Introduction 2. Programming Language Syntax 3. Names, Scopes, Bindings 4. Semantic Analysis 5. Target Machine Architecture
II. Core Issues in Language Design 6. Control Flow 7. Data Types 8. Composite Types 9. Subroutines and Control Abstraction 10. Data Abstraction and Object Orientation
III. Alternative Programming Models 11. Functional Languages 12. Logic Languages 13. Concurrency 14. Scripting Languages
IV. A Closer Look at Implementation 15. Building a Runnable Program 16. Run-time Program Management 17. Code Improvement
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