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Features the best practices in the art and science of constructing software--topics include design, applying good techniques to construction, eliminating errors, planning, managing construction activities, and relating personal character to superior software. Original. (Intermediate)
Martin Fowler, Kent Beck
Users can dramatically improve the design, performance, and manageability of object-oriented code without altering its interfaces or behavior. "Refactoring" shows users exactly how to spot the best opportunities for refactoring and exactly how to do it, step by step.
Katherine Sierra, Bert Bates
The Best Fully Integrated Study System Available--Written by the Lead Developers of Exam 310-065 With hundreds of practice questions and hands-on exercises, SCJP Sun Certified Programmer for Java 6 Study Guide covers what you need to know--and shows you how to prepare--for this challenging exam. 100% complete coverage of all official objectives for exam 310-065 Exam Objective Highlights in every chapter point out certification objectives to ensure you're focused on passing the exam Exam Watch sections in every chapter highlight key exam topics covered Simulated exam questions match the format, tone, topics, and difficulty of the real exam Covers all SCJP exam topics, including: Declarations and Access Control · Object Orientation · Assignments · Operators · Flow Control, Exceptions, and Assertions · Strings, I/O, Formatting, and Parsing · Generics and Collections · Inner Classes · Threads · Development CD-ROM includes: Complete MasterExam practice testing engine, featuring: Two full practice exams; Detailed answers with explanations; Score Report performance assessment tool Electronic book for studying on the go Bonus coverage of the SCJD exam included! Bonus downloadable MasterExam practice test with free online registration.
Offers application debugging techniques for Microsoft .NET Framework and Windows, covering topics such as exception monitoring, crash handlers, and multithreaded deadlocks.
Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.
Alexander A. Stepanov, Paul McJones
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. 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.
Your 2-in-1 Self-Paced Training Kit. Fully updated and revised! Ace your preparation for the skills measured by MCTS Exam 70-536—and on the job. With this official Microsoft study guide, you'll work at your own pace through a series of lessons and reviews that fully cover each exam objective. Then reinforce and apply what you've learned through real-world case scenarios and practice exercises. Maximize your performance on the exam by learning to: Develop applications that use system types and collections Validate input, reformat text, and extract data with regular expressions Create services and multi-threaded applications Implement code-access security and role-based security Implement serialization to read and write complex objects Leverage legacy code using interoperability Monitor and troubleshoot applications Create applications for a global audience PRACTICE TESTS Assess your skills with practice tests on CD. You can work through hundreds of questions using multiple testing modes to meet your specific learning needs. You get detailed explanations for right and wrong answers?including a customized learning path that describes how and where to focus your studies. Your kit includes: 15% exam discount from Microsoft. (Limited time offer). Official self-paced study guide. Practice tests with multiple, customizable testing options and a learning plan based on your results. 300+ practice and review questions. Code samples in Microsoft Visual Basic and Visual C# on CD. Case scenarios, exercises, and best practices. 90-day evaluation of Microsoft Visual Studio Professional 2008. Fully searchable eBook of this guide. A Note Regarding the CD or DVD The practice test materials are available as a download along with your ebook version of the kit, and will be located in your account. Please direct any questions or concerns to email@example.com.
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you’re new to F#, this book will give you everything you need to get started. If you’re already familiar with F#, this is your chance to put the language into action in an exciting new context. In a series of fascinating projects, you’ll learn how to: Build an optical character recognition (OCR) system from scratch Code a spam filter that learns by example Use F#’s powerful type providers to interface with external resources (in this case, data analysis tools from the R programming language) Transform your data into informative features, and use them to make accurate predictions Find patterns in data when you don’t know what you’re looking for Predict numerical values using regression models Implement an intelligent game that learns how to play from experience Along the way, you’ll learn fundamental ideas that can be applied in all kinds of real-world contexts and industries, from advertising to finance, medicine, and scientific research. While some machine learning algorithms use fairly advanced mathematics, this book focuses on simple but effective approaches. If you enjoy hacking code and data, this book is for you.