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Computer Science - Software Engineering | Programming and Meta-Programming in Scheme

Programming and Meta-Programming in Scheme

Pearce, Jon

Softcover reprint of the original 1st ed. 1998, XIII, 341 p.

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  • About this textbook

By now, Scheme is a well-established programming language and is finding increasing popularity in programming courses for undergraduates. Its expressive capabilities are matched by a simplicity of language and ease-of-use which have made its adherents disciples! This textbook provides a comprehensive first course in Scheme and covers all of its major features: abstraction, functional programming, data types, recursion, and semantic programming. Although the primary goal of this text is to teach students to program in Scheme, it will be suitable for any student studying 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. (Nearly all of the problems require students to write short Scheme procedures.) As well as providing a thorough grounding in Scheme, the author discusses in depth different programming paradigms. An important theme throughout is that of "meta-programming": the perspective that programs themselves can be treated as data, and hence can be analyzed and modified as objects. This provides insight into topics such as type-checking and overloading which might otherwise be missed.

Content Level » Lower undergraduate

Keywords » Beta - LISP - Processing - Programming language A - Scheme - functional programming - programming language

Related subjects » Software Engineering

Table of contents 

1.1 LISP.- 1.1.1. LISP Dialects.- 1.2 Scheme.- 1.2.1. Scheme on the Web.- 1.3. Structure of the Text.- 1.3.1. Themes.- 1. Expressions and Values.- 1.1. Values.- 1.1.1. Numbers.- 1.1.2. Characters.- 1.1.3Booleans.- 1.1.4 Symbols.- 1.1.5. Procedures.- 1.1.6. Strings.- 1.1.7. Lists.- 1.1.8. Vectors.- 1.1.9. Pairs.- 1.1.10. Other Value Domains.- 1.2. Expressions.- 1.2.1. Literals.- 1.2.2. Symbols and the Global Environment.- 1.2.3. Applications.- 1.2.4. Structures.- 1.2.5. Literals Revisited.- 1.3. The Scheme Interpreter.- 1.3.1. The Expression Evaluator.- 1.3.2. The Control Loop.- 1.4. Definitions.- Appendices.- Appendix 1.1. Defining Domains.- Appendix 1.2. Sessions.- Appendix 1.3. Numbers.- Problems.- 2. Procedures.- 2.1. Defining and Applying Procedures.- 2.1.1. The Environmental Influence.- 2.1.2. The Modularity Principle and Top-Down Design.- 2.2. Building Procedures Using Application.- 2.2.1. Example: Coercions.- 2.2.2. Example: Palindromes.- 2.3. The Abstraction Principle.- 2.3.1. Constructors.- 2.3.2. Selectors.- 2.3.3. Lists as Pairs.- 2.3.4. Example: Association Lists as Records.- 2.4. Polymorphic Procedures.- 2.4.1. Equivalence Predicates.- 2.4.2. The not and null? Predicates.- 2.4.3. Recognition Predicates.- 2.4.4. Example: Searching Association Lists.- 2.5. Meta-Procedures.- Appendices.- Appendix 2.1. Mathematics in Scheme.- Appendix 2.2. Sequences.- Appendix 2.3. The Edit-Test-Debug Cycle.- Problems.- 3. Evaluation Control and Recursion.- 3.1. Evaluation Control.- 3.2. Short Circuit Evaluation.- 3.3. Conditional Evaluation.- 3.3.1. The if-structure.- 3.3.2. The cond-structure.- 3.3.3. Input Validation.- 3.3.4. The case-structure.- 3.4. Recursion.- 3.4.1. Example: Triangle Numbers.- 3.4.2. Tracing.- 3.4.3. More on Input Validation.- 3.4.4. Mathematical Induction.- 3.5. Thinking Recursively.- 3.5.1. Example: make-list.- 3.5.2. Example: nat-expt.- 3.5.3. Example: evaluate.- Problems.- 4. Data Control.- 4.1. Procedure Blocks.- 4.1.1. The Nesting Instinct.- 4.2. The Environment Model of Eager Evaluation.- 4.2.1. Bindings.- 4.2.2. Environments.- 4.2.3. Static Versus Dynamic Scope Rules.- 4.3. Abstract Data Types.- 4.3.1.Example : The CARD ADT.- 4.3.2. Information Hiding and Data Abstraction.- 4.3.3. Example: The POINT ADT.- 4.4. Overloading.- 4.5. Domains as Data.- 4.5.1. Programmer-Defined Types.- 4.5.2. Example: Complex Numbers.- 4.6. Data-Driven Programming.- Appendices.- Appendix 4.1. Object-Oriented Programming.- Appendix 4.2. Expression Blocks.- Problems.- 5. Iteration.- 5.1. Modeling Systems.- 5.1.1. Iterative Evaluation.- 5.1.2. Control Loops.- 5.1.3. Example: A Digital Clock.- 5.1.4. Example: Compound Interest.- 5.1.5. Example: A Simple Interactive System.- 5.1.6. Example: Guess and Test.- 5.2. Computations as Data.- 5.2.1. Predicting the Future.- 5.2.2. Measuring Computations.- 5.2.3. Measuring Efficiency.- 5.2.4. The Tyranny of Growth Rate.- 5.3. Finding Iterative Solutions.- 5.4. Tail Recursion: Are do-loops Necessary?.- 5.5. Finding Elementary Solutions.- Appendices.- Appendix 5.1. The Hyper-Exponential Hierarchy.- Appendix 5.2. Undecidability.- Appendix 5.3. Chaos.- Problems.- 6. Recursive Domains.- 6.1. Recursive Domains as Hierarchies.- 6.1.1. Recursion over Hierarchies.- 6.2. List Recursion.- 6.2.1. Application: Are Lists Necessary?.- 6.2.2. Application: Association Lists.- 6.3. The Signal Processing Paradigm.- 6.3.1. Filters.- 6.3.2. Amplifiers (Map).- 6.3.3. Receivers (Accumulators).- 6.3.4. Transmitters (Generators).- 6.3.5. Applications.- 6.4. Trees and Tree Recursion.- 6.4.1. Terminology.- 6.4.2. The TREE Domain.- 6.4.3. Tree Recursion.- 6.4.4. Efficiency of Tree Recursions.- Appendices.- Appendix 6.1. Promises.- Appendix 6.2. Streams.- 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.- 7.8.1. Pass-by-Value.- 7.8.2. Pass-by-Reference.- 7.83. Bank Accounts Revisited.- Appendices.- Appendix 7.1. Implementing Heaps.- Appendix 7.2. Sequential Access Stores.- Appendix 7.3. Files and Ports.- Problems.- 8. Expressions as Values.- 8.1. Macros.- 8.1.1. While Structures.- 8.1.2. Lazy Procedures.- 8.1.3. Implementing Streams.- 8.2. Semantic Prototyping.- 8.3. Alpha.- 8.3.1. Alpha Values and Phrases.- 8.3.2. The Alpha Control Loop.- 8.3.3. The Alpha Declaration Resolver.- 8.3.4. The Alpha Expression Evaluator.- 8.4. Beta.- 8.4.1. Beta Commands.- 8.4.2. The Beta Control Loop.- 8.4.3. The Beta Resolver.- 8.4.4. The Beta Evaluator.- Appendices.- Appendix 8.1. Lambda.- Problems.- References.

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