Programming

First published in 1998, this textbook is a broad but rigourous survey of the theoretical basis for the design, definition and implementation of programming languages and of systems for specifying and proving programme behaviour. Both imperative and functional programming are covered, as well as the ways of integrating these aspects into more general languages. Recognising a unity of technique beneath the diversity of research in programming languages, the author presents an integrated treatment of the basic principles of the subject. He identifies the relatively small number of concepts, such as compositional semantics, binding structure, domains, transition systems and inference rules, that serve as the foundation of the field. Assuming only knowledge of elementary programming and mathematics, this text is perfect for advanced undergraduate and beginning graduate courses in programming language theory and also will appeal to researchers and professionals in designing or implementing

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming

The C Programming Language provides an insight into Programming Principles in general. Dealing with both the theoretical and practical aspects, it introduces the concept of functions, arrays and the C

Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming

Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimisation and artificial intelligence, and has been successfully applied in a number of fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. This textbook for upper-division students provides a thorough and structured account of the main aspects of constraint programming. The author provides many worked examples that illustrate the usefulness and versatility of this approach to programming, as well as many exercises throughout the book that illustrate techniques, test skills and extend the text. Pointers to current research, extensive historical and bibliographic notes, and a comprehensive list

Working on the assumption that the reader has no formal training in programming, Perl Programming for Biologists demonstrates how Perl is used to solve biological problems. Each chapter opens with a s

Investigating meta-programming within the logic programming paradigm, Meta-Logics and Logic Programming presents original research on an important extension of logic programming that makes it more ame

Extreme Programming does not mean programming naked while rollerblading down the side of the Grand Canyon. It does mean a new approach to software development that is both radical and common-sense.

Concepts in Programming Languages elucidates the central concepts used in modern programming languages, such as functions, types, memory management, and control. The book is unique in its comprehensi

With the same insight and authority that made their book The Unix Programming Environment a classic, Brian Kernighan and Rob Pike have written The Practice of Programming to help make individual progr

First published in 1998, this textbook is a broad but rigourous survey of the theoretical basis for the design, definition and implementation of programming languages and of systems for specifying and proving programme behaviour. Both imperative and functional programming are covered, as well as the ways of integrating these aspects into more general languages. Recognising a unity of technique beneath the diversity of research in programming languages, the author presents an integrated treatment of the basic principles of the subject. He identifies the relatively small number of concepts, such as compositional semantics, binding structure, domains, transition systems and inference rules, that serve as the foundation of the field. Assuming only knowledge of elementary programming and mathematics, this text is perfect for advanced undergraduate and beginning graduate courses in programming language theory and also will appeal to researchers and professionals in designing or implementing

Functional programming (函數式程式設計) 是一種已有六十年歷史的程式設計範式，為何現在變得越來越重要？這是因為隨著各種連網設備 (如行動裝置) 和雲端服務的普及，多程序透過網路交換訊息已成為常態，因此分散式系統的開發變得至關重要。分散式系統軟體開發的複雜性往往導致開發過程容易陷入混亂，程式碼盤根錯節難以除錯維護與擴展，成為揮之不去卻又不敢動的痛處。而 functional programming 的簡約風格因此受到廣泛關注。這種設計範式強調使用函式來構建應用程式，程式碼清晰又容易維護，亦能解決分散式系統多執行緒的問題。除了專門的函數式語言之外，Python、Java、JavaScript、C#、C++、Go 和 Rust 等知名語言的新版中，也因應趨勢增強了對 functional programming 的支援。只要建立了這種思維方式，你就可以應用在自己的程式語言中。市面上與 functional programming 相關的書籍 (主要為英文書) 通常由學者撰寫，內容偏重理論，而在大型實務專案經驗上顯得不足。這類書中的範例大多過於簡單，未能涉及實際軟體架構問題。與此相反，本書作者擁有二十年在產業界實際運用 functional programming 的經驗，從產業角度出發，旨在幫助那些在軟體工程實踐中遇到困難的工程師重新思考。即使你的目的不是分散式系統，學習 functional programming 的思維都能夠幫助你在撰寫任何程式時想得更周到。由於 functional programming 的特點 — 無 side effects（額外作用）和資料的不可變性 — 使得它非常適用於開發網路程式，在這種環境中，資料一致性和狀態管理是關鍵挑戰。本書透過 concurrency primitives（併發基本工具）實作、繪製時間線圖、分析並解決併發操作中的插緒問題，有效處理狀態變化和 bug，從而構建可靠的分散式系統程式。本書特色: ●作者從產業界的視角出發，旨在幫助那些陷入困境的軟體工程師，重新審視並採納 functional programming 程式設計方法。●為了更貼近軟體工程師的實際狀況，書中以廣泛熟知的 JavaScript 語言做示範。雖然 JavaScript 不是最理想的函數式語言，但這一點

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-an

What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-p

Surveying the major programming languages that have hallmarked the evolution of computing, Programming Language Fundamentals by Example provides an understanding of the many languages and notations us

This book presents a variety of widely used algorithms, expressing them in a pure functional programming language to make their structure and operation clearer to readers. In the opening chapter the a

Take your Excel programming skills to the next level To take Excel to the next level, you need to understand and implement the power of Visual Basic for Applications (VBA). Excel VBA Programming

Python is a free general purpose programming language with a beautiful syntax. The topics in the book have been carefully selected to give good exposure to almost all the core concepts of the Pyt

Covering all the essential components of Unix/Linux, including process management, concurrent programming, timer and time service, file systems and network programming, this textbook emphasizes progra

Making extensive use of examples, this textbook on Java programming teaches the fundamental skills for getting started in a command-line environment. Meant to be used for a one-semester course to bu

The language of the computer which instructs it to perform various specific functions is known as programming language. It has some developing processes, which include syntax, dynamic semantics, stati

Get started using the C# programming language. Based on the author’s 15 years of experience teaching beginners, the book provides you with a step-by-step introduction to the principles of programming,

This reader-friendly textbook presents a concise and easy to follow introduction to Scala. Scala is an ideal first programming language, which permits programming in multiple paradigms, and enables de

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical

This book presents a smooth and unified transitional framework from generalised fractional programming, with a finite number of variables and a finite number of constraints, to semi-infinite fractiona

Functional programming is a way of thinking about programs that emphasizes functions, while avoiding state mutation. C# includes a number of functional features and libraries, enabling us to take adva

In programming courses, using the different syntax of multiple languages, such as C plus plus, Java, PHP, and Python, for the same abstraction often confuses students new to computer science. Introduc

Unlike any other programming language, Haskell is purely functional with a strong type system and lazy evaluation. It is arguable the most interesting language but also has the reputation of being one

C++ Programming in Easy Steps, 5th Edition instructs you how to program in the powerful C++ language, giving complete examples that illustrate each aspect.C++ Programming in Easy Steps, 5th Edition ma

C# Programming in Easy Steps will teach you to code applications, and demonstrates every aspect of the C# language you will need to produce professional programming results. Its examples provide clear

Prepare for programming success by learning the fundamental principles of developing structured program logic with Farrell's PROGRAMMING LOGIC AND DESIGN: INTRODUCTORY, 9E. Widely used in foundational

Introduce the MATLAB language to your students and show how to use it to solve typical problems with the concise, successful ESSENTIALS OF MATLAB PROGRAMMING, 3E. Author Stephen Chapman emphasizes pro

Haskell is a purely functional language that allows programmers to rapidly develop clear, concise, and correct software. The language has grown in popularity in recent years, both in teaching and in industry. This book is based on the author's experience of teaching Haskell for more than twenty years. All concepts are explained from first principles and no programming experience is required, making this book accessible to a broad spectrum of readers. While Part I focuses on basic concepts, Part II introduces the reader to more advanced topics. This new edition has been extensively updated and expanded to include recent and more advanced features of Haskell, new examples and exercises, selected solutions, and freely downloadable lecture slides and example code. The presentation is clean and simple, while also being fully compliant with the latest version of the language, including recent changes concerning applicative, monadic, foldable, and traversable types.

This textbook provides in-depth coverage of the fundamentals of the C and C++ programming languages and the object-oriented programming paradigm. It follows an example-driven approach to facilitate understanding of theoretical concepts. Essential concepts, including functions, arrays, pointers and inheritance, are explained, while complex topics, such as dynamic memory allocation, object slicing, vtables, and upcasting and downcasting, are examined in detail. Concepts are explained with the help of line diagrams, student-teacher conversations and flow charts, while other useful features, such as quiz questions and points to remember, are included. Solved examples, review questions and useful case studies are interspersed throughout the text, and explanations of the logic used to implement particular functionality is also provided. This book will be useful for undergraduate students of computer science and engineering, and information technology.

"Learn programming and computer basics in this kid-friendly, easy-to-follow book. It covers types of information, file sizes, and bits using real-world examples and fun illustrations. Online and offli

"Have you ever wondered who developed computer coding? Discover how Ada Lovelace's interest in mathematics led to her work on an early computer and the first programming algorithm ever used"--Provided