Programming Paradigms In Lisp
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Programming Paradigms In Lisp
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Author : Rajeev Sangal
language : en
Publisher: McGraw-Hill Companies
Release Date : 1991
Programming Paradigms In Lisp written by Rajeev Sangal and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
Paradigms Of Artificial Intelligence Programming
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Author : Peter Norvig
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28
Paradigms Of Artificial Intelligence Programming written by Peter Norvig and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
Advanced Programming Language Design
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Author : Raphael A. Finkel
language : en
Publisher: Addison Wesley
Release Date : 1996
Advanced Programming Language Design written by Raphael A. Finkel and has been published by Addison Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
0805311912B04062001
Let Over Lambda
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Author : Doug Hoyte
language : en
Publisher: Lulu.com
Release Date : 2008
Let Over Lambda written by Doug Hoyte and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Let Over Lambda is one of the most hardcore computer programming books out there. Starting with the fundamentals, it describes the most advanced features of the most advanced language: Common Lisp. Only the top percentile of programmers use lisp and if you can understand this book you are in the top percentile of lisp programmers. If you are looking for a dry coding manual that re-hashes common-sense techniques in whatever langue du jour, this book is not for you. This book is about pushing the boundaries of what we know about programming. While this book teaches useful skills that can help solve your programming problems today and now, it has also been designed to be entertaining and inspiring. If you have ever wondered what lisp or even programming itself is really about, this is the book you have been looking for.
Programming Languages
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Author : Adesh K. Pandey
language : en
Publisher: Alpha Science International, Limited
Release Date : 2008
Programming Languages written by Adesh K. Pandey and has been published by Alpha Science International, Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Programming Language: Principles and Paradigms focuses on designing, implementation, properties and limitations of new and existing programming languages. The book supports a critical study of the Imperative, Functional and Logic Languages focusing on both principles and paradigms which allows for flexibility in how the text can be used. The instructor can cover the fundamentals in principles and then choose paradigms of the text that he or she wishes to cover. Comparative study of implementation of various programming languages like C, C++, Java, Lisp, ML, Ada etc. In complete book the concepts of designing of languages are discussed with examples and programs of frequently used languages like C, C++, Java, Ada, ML and Lisp.
Practical Common Lisp
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Author : Peter Seibel
language : en
Publisher: Apress
Release Date : 2006-11-01
Practical Common Lisp written by Peter Seibel and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-01 with Computers categories.
* Treats LISP as a language for commercial applications, not a language for academic AI concerns. This could be considered to be a secondary text for the Lisp course that most schools teach . This would appeal to students who sat through a LISP course in college without quite getting it – so a "nostalgia" approach, as in "wow-lisp can be practical..." * Discusses the Lisp programming model and environment. Contains an introduction to the language and gives a thorough overview of all of Common Lisp’s main features. * Designed for experienced programmers no matter what languages they may be coming from and written for a modern audience—programmers who are familiar with languages like Java, Python, and Perl. * Includes several examples of working code that actually does something useful like Web programming and database access.
Programming Paradigms And Methodology
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Author : Seema Kedar
language : en
Publisher:
Release Date : 2008
Programming Paradigms And Methodology written by Seema Kedar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Artificial intelligence categories.
Principles of language design - (Syntax, Type systems and semantics, Memory management and exception handling), Characteristics of programming languages, Character set tokens, Sentence-syntax and semantics, Syntax programming language paradigms (Brief introduction to imperative, Object oriented, Functional, Logic, Event driven and Concurrent programming).Basic building blocks of a language - Properties of structured and non structured data types and objects, Variables, Constants, Derived and abstract data types, Declaration, Type checking, Binding and binding times, Type conversion, Scalar data type, Composite data types, Implementation of data types and control flow statements.Procedures : Simple call return subprogram, Recursive subprogram, Static and dynamic scope, Referencing environment (Local, Non local and Global), Different parameter passing methods, Lifetime and static, Dynamic scope of variables, Storage management (Static and dynamic).Characteristics of object oriented programming - Abstraction, Encapsulation, Information hiding, Inheritance (Single, Multilevel, Multiple, Hybrid), Static and runtime polymorphism. Class declaration, Creation of objects, Public, Private and protected members, Constructors, Destructors, Dynamic allocation, Static data members, Friend class. (All concepts should be discussed with C++ programming language). Functional programming : Elements of functional programming, Function declaration, Expression evaluation, Type checking, Application of functional programming languages. (All the concepts should be discussed with LISP programming language)Logic programming : Computing with relations, Introduction to PROLOG (facts, rules, queries), Control in PROLOG, Cuts.Introduction to concurrent programming : Basic concepts of concurrent programming (Parallelism in hardware, Streams, Concurrency as interleaving, Safe access to shared data).A comparative study of programming languages as C, C++, LISP, PROLOG with respect toa) Building blocks of the language.b) Procedures and control structures.C) Special features of the language.
Ai Algorithms Data Structures And Idioms In Prolog Lisp And Java
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Author : George F. Luger
language : en
Publisher: Addison-Wesley
Release Date : 2009
Ai Algorithms Data Structures And Idioms In Prolog Lisp And Java written by George F. Luger and has been published by Addison-Wesley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Algorithms categories.
Programming Languages
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Author : Doris Appleby
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 1997
Programming Languages written by Doris Appleby and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Programming languages (Electronic computers) categories.
Programming Languages: Paradigm and Practice, second edition, offers an up-to-date presentation of the concepts, theories, and histories of the numerous high-level programming languages. The book gives equal weight to both imperative (Pascal, C, C++, Ada, etc.) and declarative paradigms (Prolog, LISP, SQL, SETL, etc.) while emphasizing theoretical foundations for different language types.
Data Oriented Programming
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Author : Yehonathan Sharvit
language : en
Publisher: Simon and Schuster
Release Date : 2022-08-16
Data Oriented Programming written by Yehonathan Sharvit and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Computers categories.
Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to: Separate code from data Represent data with generic data structures Manipulate data with general-purpose functions Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP. Best of all, the paradigm is language-agnostic—you’ll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. About the book Data-Oriented Programming teaches you to design software using the groundbreaking data-oriented paradigm. You’ll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming. What's inside Separate code from data Represent data with generic data structures Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data About the reader For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the author Yehonathan Sharvit has over twenty years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-Oriented Programming workshops around the world. Table of Contents PART 1 FLEXIBILITY 1 Complexity of object-oriented programming 2 Separation between code and data 3 Basic data manipulation 4 State management 5 Basic concurrency control 6 Unit tests PART 2 SCALABILITY 7 Basic data validation 8 Advanced concurrency control 9 Persistent data structures 10 Database operations 11 Web services PART 3 MAINTAINABILITY 12 Advanced data validation 13 Polymorphism 14 Advanced data manipulation 15 Debugging