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Books : Computers & Internet : Programming : Languages & Tools : Lisp
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LISP, which stands for LISt Processing, was developed in the late 1950s by John McCarthy as a language for manipulating symbols. This book presents the Common LISP Language, a version of LISP, and details a range of applications for it, including data structures, computer systems, and compiler design.This book presents a tutorial introduction to Common LISP, coverign lists and trees, recursion, local vs. global reference, characters and strings, streams, LAMDA and LABELS, control, debugging, macros, structures, classes and objects, vectors and arrays, and efficiency and compilation.For programmers interested in a language with simple syntax, extensive adaptability and advanced memory management.
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This third edition is a revised and expanded version of Winston and Horn's best-selling introduction to the Lisp programming language and to Lisp-based applications, many of which are possible as a result of advances in Artificial Intelligence technology. The Knowledge You Need The new edition retains the broad coverage of previous editions that has made this book popular both with beginners and with more advanced readers -- coverage ranging from the basics of the language to detailed examples showing Lisp in practice. Based on the CommonLisp standard, this book also introduces CommonLisp's object system, CLOS, and the productivity-promoting techniques enabled by object-oriented programming. Application examples drawn from expert systems, natural language interfaces, and symbolic mathematics are featured, and new applications dealing with probability bounds, project simulation, and visual object recognition are introduced. Special Features of this Edition *Based on extensive teaching experience *Explains key problem solving paradigms, such as search, forward chaining, and problem reduction *Discusses constraint propagation, backward chaining, and key ideas in Prolog *Emphasizes procedure and data abstraction, and other points of programming style and practice *Covers cliches, mapping, streams, delayed evaluation, and techniques for better and faster procedure definition 0201083191B04062001
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This is a comprehensive account of the semantics and the implementation of the whole Lisp family of languages, namely Lisp, Scheme and related dialects. It describes 11 interpreters and 2 compilers, including very recent techniques of interpretation and compilation. The book is in two parts. The first starts from a simple evaluation function and enriches it with multiple name spaces, continuations and side-effects with commented variants, while at the same time the language used to define these features is reduced to a simple lambda-calculus. Denotational semantics is then naturally introduced. The second part focuses more on implementation techniques and discusses precompilation for fast interpretation: threaded code or bytecode; compilation towards C. Some extensions are also described such as dynamic evaluation, reflection, macros and objects. This will become the new standard reference for people wanting to know more about the Lisp family of languages: how they work, how they are implemented, what their variants are and why such variants exist. The full code is supplied (and also available over the Net). A large bibliography is given as well as a considerable number of exercises. Thus it may also be used by students to accompany second courses on Lisp or Scheme.
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...it has a fresh view on the language and the examples in the later chapters are usable in your day-to-day work as a programmer. If you're interested in Lisp as it relates to Python or Perl, and want to learn through doing rather than watching, Practical Common Lisp is an excellent entry point.— Chris McAvoy, Chicago Python Users Group
Lisp is often thought of as an academic language, but it need not be. This is the first book that introduces Lisp as a language for the real world.
Practical Common Lisp presents a thorough introduction to Common Lisp, providing you with an overall understanding of the language features and how they work. Over a third of the book is devoted to practical examples such as the core of a spam filter and a web application for browsing MP3s and streaming them via the Shoutcast protocol to any standard MP3 client software (e.g., iTunes, XMMS, or WinAmp). In other "practical" chapters, author Peter Seibel demonstrates how to build a simple but flexible in-memory database, how to parse binary files, and how to build a unit test framework in 26 lines of code.
A highly accessible introduction to LISP, this is for inexperienced programmers and programmers new to LISP. A LISP "toolkit" in each chapter explains how to use Common LISP programming and debugging tools such as DESCRIBE, INSPECT, TRACE and STEP.
There are surprises in store for the diligent reader of this masterful introduction to recursion as a fundamental tool for expressing and solving problems. With wit and wisdom, The Little LISPer unfolds some of the most beautiful concepts in mathematics, computer science, and logic.
The authors' goal is to show that recursive thinking is first of all fun, that it is powerful, and that the programming language Lisp allows one to express ideas recursively and naturally. There are hard problems along the way, but their solution brings mastery of recursive, functional, and meta-linguistic abstractions, developing skills in the underlying creative programming in Lisp. The Little LISPer is self-contained: an interpreter for the language is developed using the tools of the book itself .
The authors' goal is to show that recursive thinking is first of all fun, that it is powerful, and that the programming language Lisp allows one to express ideas recursively and naturally. There are hard problems along the way, but their solution brings mastery of recursive, functional, and meta-linguistic abstractions, developing skills in the underlying creative programming in Lisp. The Little LISPer is self-contained: an interpreter for the language is developed using the tools of the book itself .
This book presents the technical core of Chaitin's theory of program-size complexity, also known as algorithmic information theory. LISP is used to present the key algorithms and to enable computer users to interact with the author's proofs and discover for themselves how they work.
This tutorial is an elementary introduction to teach non-programmers how to customize their work environment; it can also be used as an introduction to programming basics. It includes numerous exercises and sample programs; the author also walks you through the actual source code of several GNU Emacs commands. A handy reference appendix is included. Emacs Lisp is a simple, complete, and powerful programming language. It is the building block of GNU Emacs, which is an integrated development environment with special features for scanning and parsing text as well as for handling multiple files, buffers, displays, windows, and sub-processors. This text will show you: * how to set variables and write function definitions * How to use "if" and "let" * How to write "while" loops and recursive loops * How to search for a word or expression * How to customize GNU Emacs for yourself, even when it is shared on a network. * How to debug programs * and much more. This revised third edition covers new features included in GNU Emacs version 21, while remaining compatible with earlier versions.
Computer Science