By applying the design patterns outlined in this book, you’ll learn how to write flexible and resilient code that’s easier—not harder—to work with as your code base grows.JavaScript has become one of the most widely used—and essential—programming languages for the Web, on both the client-side and server-side. In the real world, JavaScript applications are fragile, and when you change them things often break. Author Eric Elliott shows you how to add features without creating bugs or negatively impacting the rest of your code during the course of building a large JavaScript application.Examine the anatomy of a modern JavaScript applicationLearn best practices for code organization, modularity, and reuseApply Model-View-Controller architectures to client-side web developmentDelve into client-side (browser) and server-side (Node) approachesUse Node to design and program RESTful APIsLearn the processes teams use to build, test, deploy, and scale large JavaScript applicationsExpand your application’s reach through platform targets and internationalization

    Leading Scrum coach and trainer Kenny Rubin illuminates the values, principles, and practices of Scrum, and describes flexible, proven approaches that can help you implement it far more effectively. Whether you are new to Scrum or years into your use, this book will introduce, clarify, and deepen your Scrum knowledge at the team, product, and portfolio levels. Drawing from Rubin's experience helping hundreds of organizations succeed with Scrum, this book provides easy-to-digest descriptions enhanced by more than two hundred illustrations based on an entirely new visual icon language for describing Scrum's roles, artifacts, and activities. Essential Scrum will provide every team member, manager, and executive with a common understanding of Scrum, a shared vocabulary they can use in applying it, and practical knowledge for deriving maximum value from it.

    Now, Core JavaServer™ Faces–the #1 guide to JSF–has been thoroughly updated in this second edition, covering the latest feature enhancements, the powerful Ajax development techniques, and open source innovations that make JSF even more valuable. Authors David Geary and Cay Horstmann delve into all facets of JSF 1.2 development, offering systematic best practices for building robust applications, minimizing handcoding, and maximizing productivity. Drawing on unsurpassed insider knowledge of the Java platform, they present solutions, hints, tips, and “how-tos” for writing superior JSF 1.2 production code, even if you’re new to JSF, JavaServer Pages™, or servlets.The second edition’s extensive new coverage includes: JSF 1.2’s improved alignment with the broader Java EE 5 platform; enhancements to the JSF APIs; controlling Web flow with Shale; and using Facelets to replace JSP with XHTML markup. The authors also introduce Ajax development with JSF–from real-time validation and Direct Web Remoting to wrapping Ajax in JSF components and using the popular Ajax4jsf framework.This book will help you Automate low-level details and eliminate unnecessary complexity in server-side development Discover JSF best practices, ranging from effective UI design and style sheets to internationalization Use JSF with Tiles to build consistent, reusable user interfaces Leverage external services such as databases, LDAP directories, authentication/authorization, and Webservices Use JBoss Seam to greatly simplify development of database-backed applications Implement custom components, converters, and validators Master the JSF 1.2 tag libararies, and extend JSF with additional tag libraries Preface Acknowledgments Chapter 1: Getting Started Chapter 2: Managed Beans Chapter 3: Navigation Chapter 4: Standard JSF Tags Chapter 5: Data Tables Chapter 6: Conversion and Validation Chapter 7: Event Handling Chapter 8: Subviews and Tiles Chapter 9: Custom Components, Converters, and Validators Chapter 10: External Services Chapter 11: Ajax Chapter 12: Open Source Chapter 13: How Do I . . . Index

    Aiming to tell the dark secrets of computer arithmetic, this title is suitable for library developers, compiler writers, and lovers of elegant hacks.

    Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and functional programming address issues with traditional threads and locks development. Learn how to exploit the parallelism in your computer's GPU and leverage clusters of machines with MapReduce and Stream Processing. And do it all with the confidence that comes from using tools that help you write crystal clear, high-quality code. This book will show you how to exploit different parallel architectures to improve your code's performance, scalability, and resilience. Learn about the perils of traditional threads and locks programming and how to overcome them through careful design and by working with the standard library. See how actors enable software running on geographically distributed computers to collaborate, handle failure, and create systems that stay up 24/7/365. Understand why shared mutable state is the enemy of robust concurrent code, and see how functional programming together with technologies such as Software Transactional Memory (STM) and automatic parallelism help you tame it. You'll learn about the untapped potential within every GPU and how GPGPU software can unleash it. You'll see how to use MapReduce to harness massive clusters to solve previously intractible problems, and how, in concert with Stream Processing, big data can be tamed. With an understanding of the strengths and weaknesses of each of the different models and hardware architectures, you'll be empowered to tackle any problem with confidence.What You Need: The example code can be compiled and executed on *nix, OS X, or Windows. Instructions on how to download the supporting build systems are given in each chapter.

    Developers need to understand how to use constraints as guiderails that ensure desired outcomes, and how seemingly small changes can affect a system's properties.

    Over the past five years, authors Dustin Boswell and Trevor Foucher have analyzed hundreds of examples of "bad code" (much of it their own) to determine why they’re bad and how they could be improved. Their conclusion? You need to write code that minimizes the time it would take someone else to understand it—even if that someone else is you.This book focuses on basic principles and practical techniques you can apply every time you write code. Using easy-to-digest code examples from different languages, each chapter dives into a different aspect of coding, and demonstrates how you can make your code easy to understand.Simplify naming, commenting, and formatting with tips that apply to every line of codeRefine your program’s loops, logic, and variables to reduce complexity and confusionAttack problems at the function level, such as reorganizing blocks of code to do one task at a timeWrite effective test code that is thorough and concise—as well as readable"Being aware of how the code you create affects those who look at it later is an important part of developing software. The authors did a great job in taking you through the different aspects of this challenge, explaining the details with instructive examples." —Michael Hunger, passionate Software Developer

    But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.This book examines:Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable log structured storage engines, with differences and use-cases for eachDistributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns, from UDP to reliable consensus protocolsDatabase clusters: Discover how to achieve consistent models for replicated data

    Using the concise, scenario-driven style pioneered in Scott Meyers' best-selling Effective C++, Matt Galloway brings together 52 Objective-C best practices, tips, shortcuts, and realistic code examples that are available nowhere else. Through real-world examples, Galloway uncovers little-known Objective-C quirks, pitfalls, and intricacies that powerfully impact code behavior and performance. You'll learn how to choose the most efficient and effective way to accomplish key tasks when multiple options exist, and how to write code that's easier to understand, maintain, and improve. Galloway goes far beyond the core language, helping you integrate and leverage key Foundation framework classes and modern system libraries, such as Grand Central Dispatch. Coverage includes Optimizing interactions and relationships between Objective-C objects Mastering interface and API design: writing classes that feel "right at home" Using protocols and categories to write maintainable, bug-resistant code Avoiding memory leaks that can still occur even with Automatic Reference Counting (ARC) Writing modular, powerful code with Blocks and Grand Central Dispatch Leveraging differences between Objective-C protocols and multiple inheritance in other languages Improving code by more effectively using arrays, dictionaries, and sets Uncovering surprising power in the Cocoa and Cocoa Touch frameworks

    In the late 1990s, it provided an optimistic model for public

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Focus is on an in-depth analysis and exposition of not-so-obvious coding errors in the sample code provided. The theme is to answer the questions 'How couild I have automatically detected this bug' and 'How could I have prevented this bug'? Chapters include programmer attitudes, techniques and debugging methodology. A particularly revealing chapter is "Treacheries of the Trade", should be required reading for all C maniacs. The author has been a professional programmer for seventeen years and draws heavily (and candidly) on actual coding problems and practices based on years of experience at Microsoft.

    Abbott and Michael T. Fisher cover everything IT and business leaders must know to build technology infrastructures that can scale smoothly to meet any business requirement. Drawing on their unparalleled experience managing some of the world s highest-transaction-volume Web sites, the authors provide detailed models and best-practice approaches available in no other book. Unlike previous books on scalability, "The Art of Scalability" doesn t limit its coverage to technology. Writing for both technical and nontechnical decision-makers, this book covers everything that impacts scalability, including architecture, processes, people, and organizations. Throughout, the authors address a broad spectrum of real-world challenges, from performance testing to IT governance. Using their tools and guidance, organizations can systematically overcome obstacles to scalability and achieve unprecedented levels of technical and business performance. Coverage includes Staffing the scalable organization: essential organizational, management, and leadership skills for technical leaders Building processes for scale: process lessons from hyper-growth companies, from technical issue resolution to crisis management Making better build versus buy decisions Architecting scalable solutions: powerful proprietary models for identifying scalability needs and choosing the best approaches to meet them Optimizing performance through caching, application and database splitting, and asynchronous design Scalability techniques for emerging technologies, including clouds and grids Planning for rapid data growth and new data centers Evolving monitoring strategies to tightly align with customer requirements "

    Want to impress your coworkers and write the fastest, most efficient, stable code you ever have? Don't reinvent the wheel. Reuse decades of research into battle-tested, highly optimized, and proven techniques available on any Unix system.This book will teach you what you need to know so that you can write your own servers, debug your entire stack when things go awry, and understand how things are working under the hood.http://www.jstorimer.com/products/wor...