Beginning Linux Programming

A tutorial for beginning programmers demonstrates the programming language's fundamental concepts in a series of short easy-to-understand exercises accompanied by real-world examples

This book introduces advanced numerical-functional analysis to beginning computer science researchers. The reader is assumed to have had basic courses in numerical analysis, computer programming, comp

This textbook is ideal for MATLAB/Introduction to Programming courses in both Engineering and Computer Science departments. It is also a suitable introduction for beginning programmers. Engineering

Now in its sixth edition, JAVASCRIPT guides beginning programmers through web application development using the JavaScript programming language. As with previous editions of the book, the authors intr

Now in its fifth edition, JAVASCRIPT guides beginning programmers through Web application development using the JavaScript programming language. As with previous editions of this book, Don Gosselin in

A companion volume to Beginning Perl for Bioinformatics discusses the ties between biology and computer science and covers core PERL programming concepts, module extensions, and more advanced Perl tec

This innovative text provides beginning programmers with a concise, accessible introduction to the world of C. Assuming no prior programming experience, the author presents a carefully chosen subset o

"This book covers designs of scientific applications for GPUs, beginning with a review of the principles of GPU programming. It then describes various scientific applications for GPUs and presents les

The top-selling beginning Java book is now fully updated!As an unstoppably platform-independent, object-oriented programming language, Java is used for developing web and mobile applications. In thi

This 14-chapter text uses a combination of Alice 3 and pure Java to introduce beginning students to object-oriented (OO) programming concepts. Originally developed to eliminate barriers that have trad

New Perspectives on Blended HTML and CSS Fundamentals provides your beginning Web programming students with in-depth coverage of CSS and its use with HTML5. With the New Perspectives proven pedagogy,

John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive u

In a thorough reference for both beginning and advanced users of PC-BSD--a free, easy-to-use operating system that is fast becoming a hassle-free alternative to Linux--teaches how to contribute one's

Lego Mindstorms NXT 2.0 for Teens is a step-by-step guide to beginning programming and robotic development using Lego Mindstorms NXT. Instead of using computers to create and execute programs that ru

NEW PERSPECTIVES ON BLENDED HTML, XHTML, AND CSS provides you with beginning Web programming skills with in-depth coverage of CSS and its use with HTML and XHTML. With the New Perspectives proven peda

With PHP for the Web, Fifth Edition: Visual QuickStart Guide, readers can start from the beginning to get a tour of the programming language, or look up specific tasks to learn just what they need to

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language one step at a time, beginning with basic programming concepts

The tenth edition of Operating System Concepts has been revised to keep it fresh and up-to-date with contemporary examples of how operating systems function, and to improve learning and the student's experience with the material. It combines instruction on concepts with real-world applications so that students can understand the practical usage of the content. End-of-chapter practice exercises help to further reinforce important concepts.Each chapter also includes homework exercises and additional suggested readings on core topics. The text provides several example programs written in C and Java for use in several programming environments and a Linux Virtual Machine that can be run on Windows 10, Linux, or macOS.

This is the first Visual Basic.NET book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will find a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those which must be developed by the programmer. In an object-oriented fashion, the author presents arrays and arraylists, linked lists, hash tables, dictionaries, trees, graphs, sorting and searching as well as more advanced algorithms, such as probabilistic algorithms and dynamic programming. His approach is very practical, for example using timing tests rather than Big O analysis to compare the performance of data structures and algorithms. This book can be used in both beginning and advanced computer programming courses that use the VB.NET language and, most im

Written for a broad audience of students in mathematics, computer science, operations research, statistics, and engineering, this textbook presents a short, lively survey of several fascinating non-calculus topics in modern applied mathematics. Coverage includes probability, mathematical finance, graphs, linear programming, statistics, computer science algorithms, and groups. A key feature is the abundance of interesting examples not normally found in standard finite mathematics courses, such as options pricing and arbitrage, tournaments, and counting formulas. The author assumes a level of mathematical sophistication at the beginning calculus level, that is, students should have had at least a course in pre-calculus, and the added sophistication attained from studying calculus would be useful.

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance.

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance.

The arrival and popularity of multi-core processors has sparked a renewed interest in the development of parallel programs. Similarly, the availability of low-cost microprocessors and sensors has generated a great interest in embedded real-time programs. This book provides students and programmers whose backgrounds are in traditional sequential programming with the opportunity to expand their capabilities into parallel, embedded, real-time and distributed computing. It also addresses the theoretical foundation of real-time scheduling analysis, focusing on theory that is useful for actual applications. Written by award-winning educators at a level suitable for undergraduates and beginning graduate students, this book is the first truly entry-level textbook in the subject. Complete examples allow readers to understand the context in which a new concept is used, and enable them to build and run the examples, make changes, and observe the results.

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. What You Will LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backg

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

Separation logic is the twenty-first-century variant of Hoare logic that permits verification of pointer-manipulating programs. This book covers practical and theoretical aspects of separation logic at a level accessible to beginning graduate students interested in software verification. On the practical side it offers an introduction to verification in Hoare and separation logics, simple case studies for toy languages, and the Verifiable C program logic for the C programming language. On the theoretical side it presents separation algebras as models of separation logics; step-indexed models of higher-order logical features for higher-order programs; indirection theory for constructing step-indexed separation algebras; tree-shares as models for shared ownership; and the semantic construction (and soundness proof) of Verifiable C. In addition, the book covers several aspects of the CompCert verified C compiler, and its connection to foundationally verified software analysis tools. All c

This introduction to the basic ideas of structural proof theory contains a thorough discussion and comparison of various types of formalization of first-order logic. Examples are given of several areas of application, namely: the metamathematics of pure first-order logic (intuitionistic as well as classical); the theory of logic programming; category theory; modal logic; linear logic; first-order arithmetic and second-order logic. In each case the aim is to illustrate the methods in relatively simple situations and then apply them elsewhere in much more complex settings. There are numerous exercises throughout the text. In general, the only prerequisite is a standard course in first-order logic, making the book ideal for graduate students and beginning researchers in mathematical logic, theoretical computer science and artificial intelligence. For the new edition, many sections have been rewritten to improve clarity, new sections have been added on cut elimination, and solutions to sel

Optimal control theory is a technique being used increasingly by academic economists to study problems involving optimal decisions in a multi-period framework. This textbook is designed to make the difficult subject of optimal control theory easily accessible to economists while at the same time maintaining rigour. Economic intuitions are emphasized, and examples and problem sets covering a wide range of applications in economics are provided to assist in the learning process. Theorems are clearly stated and their proofs are carefully explained. The development of the text is gradual and fully integrated, beginning with simple formulations and progressing to advanced topics such as control parameters, jumps in state variables, and bounded state space. For greater economy and elegance, optimal control theory is introduced directly, without recourse to the calculus of variations. The connection with the latter and with dynamic programming is explained in a separate chapter. A second purp

Optimal control theory is a technique being used increasingly by academic economists to study problems involving optimal decisions in a multi-period framework. This textbook is designed to make the difficult subject of optimal control theory easily accessible to economists while at the same time maintaining rigour. Economic intuitions are emphasized, and examples and problem sets covering a wide range of applications in economics are provided to assist in the learning process. Theorems are clearly stated and their proofs are carefully explained. The development of the text is gradual and fully integrated, beginning with simple formulations and progressing to advanced topics such as control parameters, jumps in state variables, and bounded state space. For greater economy and elegance, optimal control theory is introduced directly, without recourse to the calculus of variations. The connection with the latter and with dynamic programming is explained in a separate chapter. A second purp

Second edition of the best-selling Practical SQL. An approachable guide to programming in SQL (Structured Query Language) that will teach even beginning programmers how to build powerful databases and analyze data to find meaningful information. Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language) written by longtime professional journalist Anthony DeBarros. SQL is the primary tool that programmers, web developers, researchers, journalists, and others use to explore data in a database. DeBarros focuses on using SQL to find the story in data, with the aid of the popular open-source database PostgreSQL and the pgAdmin interface. This thoroughly revised second edition includes a new chapter describing how to set up PostgreSQL and more extensive discussion of pgAdmin's best features. The author has also added a chapter on the JSON data format that shows readers how to store and query JSON data. DeBarros has also updated the data in the book throughout, a

CBC and NSTA's Best STEM Books Pick for 2022Explore artificial intelligence—the programming that teaches computers to be brainy—in this “enjoyable, upbeat series” (Booklist).Did you know that you can teach a robot to play soccer? Or that you can ride in a car driven by a computer? Discover how AI learns and grows, as well as how it identifies objects by recognizing differences and similarities!Ignite your scientific mind with fun facts, activities, and experiments. Try this: Hum “Twinkle, Twinkle Little Star,” “Baa, Baa, Black Sheep,” and the ABCs. Do you notice any similarities? Soon you’ll be thinking just like an AI program!This STEM-driven series helps beginning scientists and engineers grasp big scientific ideas with:Intriguing info to fill and thrill your brain.Hands-on activities to jumpstart your imagination.Great photos to help you get the bigger picture.New ideas sure to change the way you see the world.From Starry Forest Books,STEAM & Me™uses science, technology, enginee

• 本書英文版System Programming獲得美國最權威的書評機構Bookauthority的推薦，並評為最佳網路程式設計書籍。• 作者陳金追為電腦系統軟體世界級的專家！從事軟體研發三十幾年，曾為Oracle開發全新的資料庫復原系統。• 想成為世界級的電腦軟體專家，看本書就對了！本書有系統地介紹如何以POSIX標準所規定的作業系統程式界面，做跨平台的軟體開發，設計出一流軟體。上册第1-11章(系統程式設計)：• 靜態與動態連結，動態載入。程序管理。軟體開發與軟體工程過程。• 檔案輸入/輸出：循序I/O、隨機I/O、向量I/O、非同步I/O、直接I/O。• 程序間通信方法：信號、旗誌、共有記憶、插口、有名與無名導管、信息排隊、映入記憶器檔案。‎• Pthreads多程線程式設計：互斥鎖、條件變數、程線特有資料、修復吊死的互斥鎖、程線取消、生産消費問題。• 共時控制：更新遺失問題、系統五與POSIX旗誌。以組合語言撰寫自己的上鎖與解鎖函數，比系統所提供的任何共時控制設施，都快上25~80%的速度。如何預防鎖死。下冊第12-16章(網路程式設計)：• 網路插口程式設計：不同種類的插口、客戶伺服程式、連線與非連線式通信、同時支援IPv4與IPv6、多工式伺服程式、多播作業、非同步連線、自動重新再連線、查取端口號。• 插口選項：SO_KEEPALIVE、SO_LINGER、SO_REUSEADDR、SO_REUSEPORT 與緩衝器大小 。• 性能調整：如何分別在應用軟體與作業系統核心層次，調整網路插口程式的性能。• 分散式程式設計：如何解決跨印地(endian)、對位、32與64位元混合、永遠往後且往前相容、版本術、預防癱瘓攻撃。• 電腦網路安全：對稱式與不對稱式密碼術。撰寫從事信息紋摘、加密、解密、‎HMAC、數位簽字，‎以及SSL/TLS‎等作業的客戶伺服程式。PKI，如何產生並建立自簽的X.509憑証，如何做不‎同格式憑證的轉換，SSL/TLS 程式設計，如何在SSL/TLS作業時驗證一串的憑證，以及‎如何在SSL/TLS‎上‎做客戶認證等。• 如何設計一流軟體。• 書中200多個C範例程式，均在Linux、AIX、Solaris、HPUX、Apple Darwin上測試過。網路插口程式也在微軟Windows測試過。

Step by Step實戰操作、詳細解說，逐步帶領你設計出一款支援雲端運用、地圖、3D Touch與使用者通知等功能，以及設計感一流的App 本書是作者集結廣受歡迎的iOS10教學文章，並收納全球數千名讀者的意見重新編寫而成。內容使用最新Xcode 8與Swift 3開發，並介紹iOS10新的API，例如：使用者通知，由基礎循序漸進逐步帶領你打造出一款完整且支援雲端資料傳輸的iOS App。書中

The Formal Semantics of Programming Languages provides the basic mathematicaltechniques necessary for those who are beginning a study of the semantics and logics of programminglanguages. These techniq

Embracing in full the new features of the Java 2 platform as they apply to CS1/Introductory Programming topics, the second edition of this leading textbook continues to teach beginning programmers how

A Bourne Shell Programming/Scripting Tutorial for learning about using the Unix shell. Learn Linux / Unix shell scripting by example along with the theory. We'll have you mastering Unix shell scriptin

Daniel Liang teaches concepts of problem-solving and object-oriented programming using a fundamentals-first approach. Beginning programmers learn critical problem-solving techniques then move on to gr

WatchKit App Development Essentials is intended for readers with some existing experience of iOS development using Xcode and the Swift programming language. Beginning with the basics, this book provid

Updated edition (2nd, 1989) of an excellent reference for both beginning and advanced users. The entries cover a wide range of topics, including hardware, software, programming concepts and languages,

The class of programming languages commonly known as functional includes Lisp, Scheme, ML, and Miranda TM. This book explores a subclass known as lazy functional languages, beginning with the theoreti