Clojure Programming

This collection of twenty-three original papers represents the first effort to bring together the work of constraint programming researchers scattered across multiple disciplines and across the world.

An authority on Macromedia Flash describes the concepts, processes, and approaches with high-level ActionScript design in Flash MX, showcasing landmark sample designs and programming innovations and c

A complete guide to database programming with C# offers step-by-step coverage of ADO.NET, discusses the data access aspects of Visual Studio. NET with sample code in C#, and covers such topics as rela

Giving an overview of neuro-linguistic programming, this text takes the procedures through from initiating the session to gathering information, building the relationship and closing the session, with

Written for programmers familiar with Java, this guide explains the principles of object-oriented programming, and how to translate object-oriented designs into real programs using Java and the unifie

The exercise programming guidelines provided in this book focus on functional fitness training and safety and demonstrate how physical activities supervised by activities personnel can strongly benefi

C++ Programming with Design Patterns Revealed introduces C++ syntax alongside current object-oriented tools such as design patterns, and the Unified Modeling Language (UML), which are essential for th

Articulating the principles behind Extreme Programming (XP) and offering practical advice concerning its application, this guide outlines the first steps toward XP discipline and offers examples of it

Middle school presents unique challenges to those with autism / Asperger's, but it can also be exciting and rewarding. Inclusive Programming addresses transitioning to and from middle school, and ever

This book introduces the art of programming in C++. The topics covered range from simple C++ programmes to programme features such as classes, templates, and namespaces

This book concerns programming techniques like object-oriented programming and generic (template) programming. These modern techniques have proven to increase flexibility, modularization, code reuse a

Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the

Introduces programmers to the generic programming paradigm and to the C++ Standard Template Library and its use as an extensible framework for generic and interoperable components. Explains ideas unde

This book teaches two important topics in contemporary software development: object-oriented programming and Java. The book uses a different approach from most of the available literature. It begins w

Fundamentals of Engineering Programming with C and Fortran, first published in 1998, is a beginner's guide to problem solving with computers which shows how to quickly prototype a program for a particular engineering application. The book's side by side coverage of C and Fortran, the predominant computer languages in engineering, is unique. It emphasizes the importance of developing programming skills in C while carefully presenting the importance of maintaining a good reading knowledge of Fortran. Beginning with a brief description of computer architecture, the book then covers the fundamentals of computer programming for problem solving. It devotes separate chapters to data types and operators, control flow, type conversion, arrays, and file operations. The final chapter contains case studies that illustrate particular elements of modeling and visualization. Also included are a number of appendices covering C and Fortran language summaries and other useful topics. This concise and ac

Written by a well-known computer science education and researcher. No previous knowledge of ML or functional programming is assumed. This is the first book that offers BOTH a highly accessible

A workbook for programmers who are new to Prolog and who wish to write useful Prolog programs, by the first author of the runaway bestseller "Programming in Prolog" (with C.S. Mellish).

This text is intended for use in the second programming courseProgramming is a matter of learning by doing. Eric Roberts’Programming Abstractions in C++ gives students opportunities to practic

Not the how-to recipe approach of most radio programming books, but a survey of principles that programmers can adapt and apply to improve the station's quality of service and strength in the market.

Linear programming is widely used in industry to solve complex planning and resource allocation problems. This book provides practitioners as well as students of this general methodology with an easil

This is the second in a series of workshops that are bringing together researchers from the theoretical end of both the logic programming and artificial intelligence communities to discuss their mutua

Type theory is a well-established branch of theoretical computer science that has played an important role in the development of imperative and functional programming languages. This collection of ori

Entertaining, nontechnical introduction covers basic concepts of linear programming and its relationship to operations research; geometric interpretation and problem solving, solution techniques, netw

Here is a presentation of LISP which is both practical and theoretical. For the practical, the syntax of the language, the programming styles, and the semantics of computation are carefully developed.

This introduction to optimization emphasizes the need for both a pure and an applied mathematical point of view. Beginning with a chapter on linear algebra and Euclidean geometry, the author then applies this theory with an introduction to linear programming. There follows a discussion of convex analysis, which finds application in non-linear programming. The book ends with an extensive commentary to the exercises that are given at the end of each chapter. The author's straightforward, geometrical approach makes this an attractive textbook for undergraduate students of mathematics, engineering, operations research and economics.

AQ: Many archaeologists learn by trial and error while developing public programs and events and are mostly unaware that others in the profession are undergoing the same challenges. Archaeologists seldom receive professional development on K-12 pedagogy, public engagement, program design, or assessment. For many in the field, public outreach is often an under-funded and under-resourced extension of an already overwhelming workload; yet this work is incredibly important.InA Practitioner's Guide to Public Archaeology: Intentional Programming for Effective Outreach, more than thirty public archaeology practitioners will help you reduce the guesswork and stress behind program planning in this engaging and reader-friendly handbook. A complement to the growing library of public archaeology publications, the authors exclusively focus on key components of planning, implementing, and assessing public archaeology programming. Learn how to connect with your audience; build an accessibility mindse

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

Thistitle is a Pearson Global Edition. The editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to an international and diverse audience.For courses in computerprogramming.A user-friendly,code-intensive introduction to C programming with case studies introducing applicationsand system programming.C How to Program is a comprehensive introduction toprogramming in C. Like other texts of the Deitels How to Program series,the books modular presentation serves as a detailed, beginner source ofinformation for college students looking to embark on a career in coding, orinstructors and software-development professionals seeking to learn how toprogram with C. The signature Deitel live-code approach presents concepts inthe context of 142 fully working programs rather than incomplete snips of code.This gives students a chance to run each program as they study it and see howtheir learning applies to real-world programming scenari

Augment your knowledge of Python with this entertaining learning guide, which features 100 exercises and programming puzzles and solutions. Python Challenges will help prepare you for your next exam or a job interview, and covers numerous practical topics such as strings, data structures, recursion, arrays, and more.Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by 10 to 15 exercises of various degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area. Author Michael Inden also describes alternative solutions and analyzes possible pitfalls and typical errors.Three appendices round out the book: the first covers the Python command line interpreter, which is often helpful for trying out the code snippets and examples in the book, followed by an overview of Pytest for unit te

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 mat

Learn to Program by Solving Problems is a practical introduction to programming using Python, one of the world’s most popular programming languages. The book emphasizes problem-solving strategies that

This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings algorithms. New examples and exercises have been added throughout. This is the only introduction you'll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical data

Learning to program isn't just learning the details of a programming language: to become a good programmer you have to become expert at debugging, testing, writing clear code and generally unsticking yourself when you get stuck, while to do well in a programming course you have to learn to score highly in coursework and exams. Featuring tips, stories and explanations of key terms, this book teaches these skills explicitly. Examples in Python, Java and Haskell are included, helping you to gain transferable programming skills whichever language you are learning. Intended for students in Higher or Further Education studying early programming courses, it will help you succeed in, and get the most out of, your course, and support you in developing the software engineering habits that lead to good programs.

Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.

Learn to build mobile apps for Android/iOS devices with MIT App Inventor, a visual drag-and-drop programming language like Scratch.App Inventor is a free, open-source visual blocks-based programming l

Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on r

0penCV作為計算機視覺庫，一直被廣泛應用於各種圖像和視頻相關的項目中，更在推動人工智能和神經網絡的發展中發揮了重要作用。但是學習和使用0penCV並不簡單，總是需要些時間選擇合適的類庫、合適的編譯工具、合適的編譯配置等。本書第1章將介紹使用Java、Scala和Kotlin在Java虛擬機(JVM)運行0penCV，同時介紹它們的一些缺點。第2章將介紹使用Clojure語言的0penCV封裝：

Access the power of bare-metal systems programming with Scala Native, an ahead-of-time Scala compiler. Without the baggage of legacy frameworks and virtual machines, Scala Native lets you re-imagine h

Discover how C's efficiency makes it a popular choice in a wide variety of applications and operating systems with special applicability to wearables, game programming, system level programming, embed

The fast and easy way to learn Python programming and statisticsPython is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of peop