Jon Pearce

Programming and Meta-Programming in Scheme (eBook, PDF)

• Format: PDF

Produktbeschreibung

A comprehensive first course in Scheme, covering all of its major features: abstraction, functional programming, data types, recursion, and semantic programming. Although the primary goal is to teach students to program in Scheme, this will be suitable for anyone taking a general programming principles course. Each chapter is divided into three sections: core, appendix , and problems. Most essential topics are covered in the core section, but it is assumed that most students will read the appendices and solve most of the problems - all of which require short Scheme procedures. As well as providing a thorough grounding in Scheme, the author discusses different programming paradigms in depth. An important theme throughout is that of "meta-programming", thus providing an insight into topics such as type-checking and overloading which might otherwise be missed.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 341
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461216827
• Artikelnr.: 43993025

Autorenporträt

By now, Scheme is a well-established programming language and is finding increasing popularity in programming courses for undergraduates. This undergraduate textbook provides a first course in programming in Scheme and an introduction to programming principles.

Inhaltsangabe

1.1 LISP.- 1.2 Scheme.- 1.3. Structure of the Text.- 1. Expressions and Values.- 1.1. Values.- 1.2. Expressions.- 1.3. The Scheme Interpreter.- 1.4. Definitions.- Appendices.- Problems.- 2. Procedures.- 2.1. Defining and Applying Procedures.- 2.2. Building Procedures Using Application.- 2.3. The Abstraction Principle.- 2.4. Polymorphic Procedures.- 2.5. Meta-Procedures.- Appendices.- Problems.- 3. Evaluation Control and Recursion.- 3.1. Evaluation Control.- 3.2. Short Circuit Evaluation.- 3.3. Conditional Evaluation.- 3.4. Recursion.- 3.5. Thinking Recursively.- Problems.- 4. Data Control.- 4.1. Procedure Blocks.- 4.2. The Environment Model of Eager Evaluation.- 4.3. Abstract Data Types.- 4.4. Overloading.- 4.5. Domains as Data.- 4.6. Data-Driven Programming.- Appendices.- Problems.- 5. Iteration.- 5.1. Modeling Systems.- 5.2. Computations as Data.- 5.3. Finding Iterative Solutions.- 5.4. Tail Recursion: Are do-loops Necessary?.- 5.5. Finding Elementary Solutions.- Appendices.- Problems.- 6. Recursive Domains.- 6.1. Recursive Domains as Hierarchies.- 6.2. List Recursion.- 6.3. The Signal Processing Paradigm.- 6.4. Trees and Tree Recursion.- Appendices.- Problems.- 7. Variables.- 7.1. Stores.- 7.2. Variables and References.- 7.3. Commands.- 7.4. L-Value versus R-Value.- 7.5. Aliasing.- 7.6. Define Versus Assign.- 7.7. Imperative Programming.- 7.8. The Bank Account Example.- Appendices.- Problems.- 8. Expressions as Values.- 8.1. Macros.- 8.2. Semantic Prototyping.- 8.3. Alpha.- 8.4. Beta.- Appendices.- Problems.- References.