The main aim of this book is to teach D to readers who are new to computer programming. Although having experience in other programming languages is certainly helpful, this book starts from the basics. D is a multi-paradigm system programming language that combines a wide range of powerful programming concepts from the lowest to the highest levels. It has C-like syntax and static typing. It pragmatically combines efficiency, control, and modeling power, with safety and programmer productivity in mind. Each chapter is based on the contents of the previous ones, introducing as few new concepts as possible. It is recommended that the book is read in linear fashion, without skipping chapters if possible. Although this book was written with beginners in mind, it covers almost all features of D. More experienced programmers can use the book as a D language reference by starting from the index section. Blurbs from the back cover: ´´D is pristine, clean, immensely powerful, and arguably the actual state-of-the-art programming language. Ali´s book is a gem. Clear, concise, and complete.´´ - Olivier Henley ´´I have been using Ali´s online D book to teach D at the university level. It is up-to-date, complete, and most importantly, extremely readable. Having a print version is even better! This is now the ´go-to´ book for learning D programming.´´ - Chuck Allison, Professor and Chair, Computer Science Department, Utah Valley University ´´Ali´s explanations are succinct and on target. I like that he provides rationale for why D was designed in a particular way and how I can use it most effectively. This is the best computer language book I´ve read.´´ - Robbin Carlson, Luthier and Enterprise Architect ´´I taught a CS2 Data Structures class in D with more success and student appreciation than when using either C++ or Java as it´s an ideal language to express the relevant concepts at all scales, from detailed to big picture, without needless complexity. Ali Çehreli´s tutorial played a central role supporting students especially during the first half of the course - without it the course simply would not have worked, so ´´many thanks Ali´´ - and an important part of that is its linearity - it can be read with only backward dependencies. This meant that with hard work even students of little experience and only moderate current abilities could get up to speed, and we saw just that. It is hard to overstate this factor. I unreservedly recommend this book to all.´´ - Dr. Carl Sturtivant, University of Minnesota Department of Computer Science & Engineering ´´This book is one of the best guides through the language that I´ve seen.´´ - Andrew Wray, D Enthusiast ´´I encourage anyone considering D to read this book. Not exactly ´D for Dummies´ but it´s easy to follow even if you don´t have much experience with compiled languages.´´ - bachmeier, Reddit user ´´Having worked through the book, I have to say this is one of the easiest to follow and distraction free read there is and the fact that it made learning a new language a total breeze really impressed me.´´ - Imran Khan, Student
Adopted as the undisputed Perl bible soon after the first edition appeared in 1991, Programming Perl is still the go-to guide for this highly practical language. Perl began life as a super-fueled text processing utility, but quickly evolved into a general purpose programming language that´s helped hundreds of thousands of programmers, system administrators, and enthusiasts, like you, get your job done. In this much-anticipated update to ´´the Camel,´´ three renowned Perl authors cover the language up to its current version, Perl 5.14, with a preview of features in the upcoming 5.16. In a world where Unicode is increasingly essential for text processing, Perl offers the best and least painful support of any major language, smoothly integrating Unicode everywhere - including in Perl´s most popular feature: regular expressions. Important features covered by this update include: New keywords and syntax I/O layers and encodings New backslash escapes Unicode 6.0 Unicode grapheme clusters and properties Named captures in regexes Recursive and grammatical patterns Expanded coverage of CPAN Current best practices
Writing code is the easy part of your work as a software developer. This practical book lets you explore the other 90%-everything from requirements discovery and rapid prototyping to business analysis and designing for maintainability.
The set of papers collected in this issue originated from the AGERE! Workshop series - the last edition was held in 2017 - and concern the application of actor-based approaches to mainstream application domains and the discussion of related issues. The issue is divided into two parts. The first part concerns Web Programming; Data-Intensive Parallel Programming; Mobile Computing; Self-Organizing Systems and the second part concerns Scheduling; Debugging; Communication and Coordination; Monitoring.
New techniques for building more secure, reliable, high-performance software, from the renowned creator of the C++ STL ° A truly foundational book on the discipline of generic programming: how to write better software by mastering the development of abstract components ° Based on Alexander Stepanov´s breakthrough lectures to programmers at Adobe and throughout Silicon Valley ° For serious software developers, architects, and engineers, the perfect complement to Knuth´s theory and Stoustrup´s practice Summary Elements of Programming is the next breakthrough book for serious practitioners seeking ways to write better software. In this book, Alexander Stepanov - the legendary architect and creator of the C++ Standard Template Libraries - focuses on the discipline that offers the greatest potential for improving contemporary software: the proper development of abstract components. Drawing on his enormously popular lectures to programmers at Adobe and throughout Silicon Valley, Stepanov illuminates crucial techniques of generic programming, specifically focusing on abstraction as the key to secure, reliable, and high-performance software. Together with co-author and ACM Fellow Paul McJones, Stepanov shows programmers how to use mathematics to compose reliable algorithms from components, and to design effective interfaces between algorithms and data structures. Topics covered in Elements of Programming include: transformations, associative operations, linear orderings, ordered algebraic structures, iterators, coordinates and coordinate structures, copying algorithms, rearrangement, sorting, and much more. This book requires an understanding of mathematics, but is consistently focused on identifying superior solutions to practical programming problems. Stepanov and McJones illuminate their concepts and techniques with C++ code, but the techniques are equally applicable to a wide range of contemporary object-oriented languages. Product Description ´´Ask a mechanical, structural, or electrical engineer how far they would get without a heavy reliance on a firm mathematical foundation, and they will tell you, ´not far.´ Yet so-called software engineers often practice their art with little or no idea of the mathematical underpinnings of what they are doing. And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers.´´ -Martin Newell, Adobe Fellow ´´The book contains some of the most beautiful code I have ever seen.´´ -Bjarne Stroustrup, Designer of C++ ´´I am happy to see the content of Alex´s course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book.´´ -Forest Baskett, General Partner, New Enterprise Associates ´´Paul´s patience and architectural experience helped to organize Alex´s mathematical approach into a tightly-structured edifice-an impressive feat!´´ -Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering,must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software. This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book´s value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your
This updated edition teaches everything you need to know to create effective web applications with the latest features in PHP 5.x. You´ll start with the big picture and then dive into language syntax, programming techniques, and other details, using examples that illustrate both correct usage and common idioms. If you have a working knowledge of HTML, the authors´ many style tips and practical programming advice will help you become a top-notch PHP programmer. Get an overview of what´s possible with PHP programs Learn language fundamentals, including data types, variables, operators, and flow control statements Understand functions, strings, arrays, and objects Apply common web application techniques, such as form processing, data validation, session tracking, and cookies Interact with relational databases like MySQL or NoSQL databases such as MongoDB Generate dynamic images, create PDF files, and parse XML files Learn secure scripts, error handling, performance tuning, and other advanced topics Get a quick reference to PHP core functions and standard extensions
Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away, and explains why Scala is ideal for today´s highly scalable, data-centric applications that support concurrency and distribution.
Extreme Programming (XP) is a radical new approach to software development that has been accepted quickly because its core practices-the need for constant testing, programming in pairs, inviting customer input, and the communal ownership of code-resonate with developers everywhere. Although many developers feel that XP is rooted in commonsense, its vastly different approach can bring challenges, frustrations, and constant demands on your patience. Unless you´ve got unlimited time (and who does these days?), you can´t always stop to thumb through hundreds of pages to find the piece of information you need. The Extreme Programming Pocket Guide is the answer. Concise and easy to use, this handy pocket guide to XP is a must-have quick reference for anyone implementing a test-driven development environment. The Extreme Programming Pocket Guide covers XP assumptions, principles, events, artifacts, roles, and resources, and more. It concisely explains the relationships between the XP practices. If you want to adopt XP in stages, the Extreme Programming Pocket Guide will help you choose what to apply and when. You´ll be surprised at how much practical information is crammed into this slim volume.O´Reilly´s Pocket Guides have become a favorite among developers everywhere. By providing a wealth of important details in a concise, well-organized format, these handy books deliver just what you need to complete the task at hand. When you´ve reached a sticking point in your work and need to get to a solution quickly, the new Extreme Programming Pocket Guide is the book you´ll want to have beside your keyboard.
Nearly five years after the first edition of this book exploded on to the market, noted software engineering guru and the father of Extreme Programming (XP) Kent Beck provides a fresh look at this controversial topic. XP remains the most popular agile methodology in software development, and many believe it is ideal for small to mid-size development organizations. However, XP is not without its detractors. The goal of the book remains to help programmers and teams decide if XP is the right path to pursue. The book offers advice, but does not provide a prescriptive, how to style format. This Fifth Anniversary Edition enhances the full knowledge of XP and gives both the advocate and skeptic of XP full detail to move forward with an informed opinion.
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you´ve found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: - Collaborative filtering techniques that enable online retailers to recommend products or media - Methods of clustering to detect groups of similar items in a large dataset - Search engine features crawlers, indexers, query engines, and the PageRank algorithm - Optimization algorithms that search millions of possible solutions to a problem and choose the best one - Bayesian filtering, used in spam filters for classifying documents based on word types and other features - Using decision trees not only to make predictions, but to model the way decisions are made - Predicting numerical values rather than classifications to build price models - Support vector machines to match people in online dating sites - Non-negative matrix factorization to find the independent features in a dataset - Evolving intelligence for problem solving - how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful Go beyond simple database-backed applications and put the wealth of Internet data to work for you. ´´Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details.´´ -- Dan Russell, Google ´´Toby´s book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths.´´ -- Tim Wolters, CTO, Collective Intellect Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you´ve found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: * Collaborative filtering techniques that enable online retailers to recommend products or media * Methods of clustering to detect groups of similar items in a large dataset * Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm * Optimization algorithms that search millions of possible solutions to a problem and choose the best one * Bayesian filtering, used in spam filters for classifying documents based on word types and other features * Using decision trees not only to make predictions, but to model the way decisions are made * Predicting numerical values rather than classifications to build price models * Support vector machines to match people in online dating sites * Non-negative matrix factorization to find the independent features in a dataset * Evolving intelligence for problem solving -- how a computer develops its skill by improving its