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| Author | : R. Kent Dybvig |
| Publisher | : Prentice Hall |
| Total Pages | : 282 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : |
Basic, no nonsense introduction to the programming language Scheme
| Author | : Michael Eisenberg |
| Publisher | : |
| Total Pages | : 304 |
| Release | : 1990 |
| Genre | : Scheme (Computer program language) |
| ISBN | : 9780262050432 |
| Author | : Jon Pearce |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 352 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461216826 |
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.
| Author | : George Springer |
| Publisher | : |
| Total Pages | : 344 |
| Release | : 1990 |
| Genre | : Computer programming |
| ISBN | : |
This is the first introduction to computer programming text to focus on functional programming which is not too mathematically rigorous for freshmen. The text features an introduction to the Scheme programming language and real-world examples and exercises which are easy to follow and learn from.
| Author | : Mark Watson |
| Publisher | : Springer |
| Total Pages | : 242 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461223946 |
Scheme provides a flexible and powerful language for programming embodying many of the best features of logical and functional programming. This enjoyable book provides readers with an introduction to programming in Scheme by constructing a series of interesting and re-usable programs. The book includes two diskettes containing MIT Scheme to run on Windows PCs.
| Author | : Harold Abelson |
| Publisher | : MIT Press |
| Total Pages | : 642 |
| Release | : 2022-05-03 |
| Genre | : Computers |
| ISBN | : 0262367629 |
A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website.
| Author | : Max Hailperin |
| Publisher | : Max Hailperin |
| Total Pages | : 686 |
| Release | : 1999 |
| Genre | : Abstract data types (Computer science). |
| ISBN | : 0534952119 |
CONCRETE ABSTRACTIONS offers students a hands-on, abstraction-based experience of thinking like a computer scientist. This text covers the basics of programming and data structures, and gives first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well. Students learn a variety of programming styles, including functional programming, assembly-language programming, and object-oriented programming (OOP). While most of the book uses the Scheme programming language, Java is introduced at the end as a second example of an OOP system and to demonstrate concepts of concurrent programming.
| Author | : Daniel P. Friedman |
| Publisher | : MIT Press |
| Total Pages | : 206 |
| Release | : 2018-03-09 |
| Genre | : Computers |
| ISBN | : 0262535513 |
A new edition of a book, written in a humorous question-and-answer style, that shows how to implement and use an elegant little programming language for logic programming. The goal of this book is to show the beauty and elegance of relational programming, which captures the essence of logic programming. The book shows how to implement a relational programming language in Scheme, or in any other functional language, and demonstrates the remarkable flexibility of the resulting relational programs. As in the first edition, the pedagogical method is a series of questions and answers, which proceed with the characteristic humor that marked The Little Schemer and The Seasoned Schemer. Familiarity with a functional language or with the first five chapters of The Little Schemer is assumed. For this second edition, the authors have greatly simplified the programming language used in the book, as well as the implementation of the language. In addition to revising the text extensively, and simplifying and revising the “Laws” and “Commandments,” they have added explicit “Translation” rules to ease translation of Scheme functions into relations.
| Author | : John McCarthy |
| Publisher | : MIT Press |
| Total Pages | : 116 |
| Release | : 1962-08-15 |
| Genre | : Computers |
| ISBN | : 9780262130110 |
The manual describes LISP, a formal mathematical language. LISP differs from most programming languages in three important ways. The first way is in the nature of the data. The LISP language is designed primarily for symbolic data processing used for symbolic calculations in differential and integral calculus, electrical circuit theory, mathematical logic, game playing, and other fields of artificial intelligence. The manual describes LISP, a formal mathematical language. LISP differs from most programming languages in three important ways. The first way is in the nature of the data. In the LISP language, all data are in the form of symbolic expressions usually referred to as S-expressions, of indefinite length, and which have a branching tree-type of structure, so that significant subexpressions can be readily isolated. In the LISP system, the bulk of the available memory is used for storing S-expressions in the form of list structures. The second distinction is that the LISP language is the source language itself which specifies in what way the S-expressions are to be processed. Third, LISP can interpret and execute programs written in the form of S-expressions. Thus, like machine language, and unlike most other high level languages, it can be used to generate programs for further executions.
| Author | : Chris Hanson |
| Publisher | : MIT Press |
| Total Pages | : 449 |
| Release | : 2021-03-09 |
| Genre | : Computers |
| ISBN | : 0262362473 |
Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by: Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces Augmenting data with independent annotation layers, such as units of measurement or provenance Combining independent pieces of partial information using unification or propagation Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking Extending the programming language, using dynamically extensible evaluators
