This update to the bestselling first edition dives in to cover the exciting new features of the latest release of the Android mobile platform.Providing in-depth coverage of how to build mobile applications using the next major release of the Android SDK, this invaluable resource takes a hands-on approach to discussing Android with a series of projects, each of which introduces a new feature and highlights techniques and best practices to get the most out of Android.The Android SDK is a powerful, flexible, open source platform for mobile devices Shares helpful techniques and best practices to maximize the capabilities of Android Explains the possibilities of Android through the use of a series of detailed projects Demonstrates how to create real-world mobile applications for Android phones Includes coverage of the latest version of Android Providing concise and compelling examples, Professional Android Application Development is an updated guide aimed at helping you create mobile applications for mobile devices running the latest version of Android.

    This title also teaches you how to use the HTML5 and CSS3 features alongside the earlier standards.

    Explore applying the Hexagonal Architecture within your application, whether within an open source framework or your own bespoke system. Finally, look into integrating Bounded Contexts, using REST and Messaging approaches.

    Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will:Solve a particular coding problem or improve on the performance of an existing solutionQuickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to useGet algorithmic solutions in C, C++, Java, and Ruby with implementation tipsLearn the expected performance of an algorithm, and the conditions it needs to perform at its bestDiscover the impact that similar design decisions have on different algorithmsLearn advanced data structures to improve the efficiency of algorithmsWith Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.

    Are You Ready To Learn Python Easily? Learning Python Programming in 7 days is possible, although it might not look like it

    You'll systematically discover each technology in the MEAN stack as you build up an application one layer at a time, just as you'd do in a real project.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyTraditional web dev stacks use a different programming language in every layer, resulting in a complex mashup of code and frameworks. Together, the MongoDB database, the Express and AngularJS frameworks, and Node.js constitute the MEAN stack--a powerful platform that uses only one language, top to bottom: JavaScript. Developers and businesses love it because it's scalable and cost-effective. End users love it because the apps created with it are fast and responsive. It's a win-win-win!About the BookGetting MEAN with Mongo, Express, Angular, and Node teaches you how to develop web applications using the MEAN stack. First, you'll create the skeleton of a static site in Express and Node, and then push it up to a live web server. Next, you'll add a MongoDB database and build an API before using Angular to handle data manipulation and application logic in the browser. Finally you'll add an authentication system to the application, using the whole stack. When you finish, you'll have all the skills you need to build a dynamic data-driven web application.What's InsideFull-stack development using JavaScriptResponsive web techniquesEverything you need to get started with MEANBest practices for efficiency and reusabilityAbout the ReaderReaders should have some web development experience. This book is based on MongoDB 2, Express 4, Angular 1, and Node.js 4.About the AuthorSimon Holmes has been a full-stack developer since the late 1990s and runs Full Stack Training Ltd.Table of ContentsPART 1 SETTING THE BASELINEIntroducing full-stack developmentDesigning a MEAN stack architecturePART 2 BUILDING A NODE WEB APPLICATIONCreating and setting up a MEAN projectBuilding a static site with Node and ExpressBuilding a data model with MongoDB and MongooseWriting a REST API: Exposing the MongoDB database to the applicationConsuming a REST API: Using an API from inside ExpressPART 3 ADDING A DYNAMIC FRONT END WITH ANGULARAdding Angular components to an Express applicationBuilding a single-page application with Angular: FoundationsBuilding an SPA with Angular: The next levelPART 4 MANAGING AUTHENTICATION AND USER SESSIONSAuthenticating users, managing sessions, and securing APIsAPPENDIXESInstalling the stackInstalling and preparing the supporting castDealing with all of the viewsReintroducing JavaScript - available online only

    A practical approach to test-driven development for Ruby on Rails using RSpec and related tools.

    With full coverage of 100% of exam objectives, this invaluable guide reinforces what you know, teaches you what you don't know, and gives you the hands-on practice you need to boost your skills. Written by expert Java developers, this book goes beyond mere exam prep with the insight, explanations and perspectives that come from years of experience. You'll review the basics of object-oriented programming, understand functional programming, apply your knowledge to database work, and much more. From the basic to the advanced, this guide walks you through everything you need to know to confidently take the OCP 1Z0-809 Exam and upgrade exams 1Z0-810 and 1Z0-813.Java 8 represents the biggest changes to the language to date, and the latest exam now requires that you demonstrate functional programming competence in order to pass. This guide has you covered, with clear explanations and expert advice.Understand abstract classes, interfaces, and class design Learn object-oriented design principles and patterns Delve into functional programming, advanced strings, and localization Master IO, NIO, and JDBC with expert-led database practice If you're ready to take the next step in your IT career, OCP: Oracle Certified Professional Java SE 8 Programmer II Study Guide is your ideal companion on the road to certification.

    In a 1995 interview, the late Steve Jobs claimed that the secret to his and Apple’s success was talent. “We’ve gone to exceptional lengths to hire the best people,” he said, believing that the talented resource was twenty-five times more valuable than an average alternative. For Microsoft founder Bill Gates, the multiple was even higher:A great lathe operator commands several times the wage of an average lathe operator, but a great writer of software code is worth 10,000 times the price of an average software writer.While the actual number might be up for debate, the importance of technical talent is not. The most successful companies today are those that understand the strategic role that developers will play in their success or failure. Not just successful technology companies – virtually every company today needs a developer strategy. There’s a reason that ESPN and Sears have rolled out API programs, that companies are being bought not for their products but their people. The reason is that developers are the most valuable resource in business.How did we get here? How did developers become the most important constituency in business seemingly overnight? The New Kingmakers explores the rise of the developer class, its implications and provides suggestions for navigating the new developer-centric landscape.

    It's an essential read for anyone dealing with scaling an online business."--Chris Lalonde, VP, Technical Operations and Infrastructure Architecture, Bullhorn "Abbott and Fisher again tackle the difficult problem of scalability in their unique and practical manner. Distilling the challenges of operating a fast-growing presence on the Internet into 50 easy-to understand rules, the authors provide a modern cookbook of scalability recipes that guide the reader through the difficulties of fast growth."--Geoffrey Weber, Vice President, Internet Operations, Shutterfly "Abbott and Fisher have distilled years of wisdom into a set of cogent principles to avoid many nonobvious mistakes."--Jonathan Heiliger, VP, Technical Operations, Facebook "In "The Art of Scalability," the AKF team taught us that scale is not just a technology challenge. Scale is obtained only through a combination of people, process, "and "technology. With "Scalability Rules," Martin Abbott and Michael Fisher fill our scalability toolbox with easily implemented and time-tested rules that once applied will enable massive scale."--Jerome Labat, VP, Product Development IT, Intuit "When I joined Etsy, I partnered with Mike and Marty to hit the ground running in my new role, and it was one of the best investments of time I have made in my career. The indispensable advice from my experience working with Mike and Marty is fully captured here in this book. Whether you're taking on a role as a technology leader in a new company or you simply want to make great technology decisions, "Scalability Rules "will be the go-to resource on your bookshelf."--Chad Dickerson, CTO, Etsy ""Scalability Rules "provides an essential set of practical tools and concepts anyone can use when designing, upgrading, or inheriting a technology platform. It's very easy to focus on an immediate problem and overlook issues that will appear in the future. This book ensures strategic design principles are applied to everyday challenges."--Robert Guild, Director and Senior Architect, Financial Services "An insightful, practical guide to designing and building scalable systems. A must-read for both product-building and operations teams, this book offers concise and crisp insights gained from years of practical experience of AKF principals. With the complexity of modern systems, scalability considerations should be an integral part of the architecture and implementation process. Scaling systems for hypergrowth requires an agile, iterative approach that is closely aligned with product features; this book shows you how."--Nanda Kishore, Chief Technology Officer, ShareThis "For organizations looking to scale technology, people, and processes rapidly or effectively, the twin pairing of "Scalability Rules "and "The Art of Scalability "are unbeatable. The rules-driven approach in "Scalability Rules "makes this not only an easy reference companion, but also allows organizations to tailor the Abbott and Fisher approach to their specific needs both immediately and in the future!"--Jeremy Wright, CEO, BNOTIONS.ca and Founder, b5media 50 Powerful, Easy-to-Use Rules for Supporting Hypergrowth in Any Environment "Scalability Rules" is the easy-to-use scalability primer and reference for every architect, developer, web professional, and manager. Authors Martin L. Abbott and Michael T. Fisher have helped scale more than 200 hypergrowth Internet sites through their consulting practice. Now, drawing on their unsurpassed experience, they present 50 clear, proven scalability rules-and practical guidance for applying them. Abbott and Fisher transform scalability from a "black art" to a set of realistic, technology-agnostic best practices for supporting hypergrowth in nearly any environment, including both frontend and backend systems. For architects, they offer powerful new insights for creating and evaluating designs. For developers, they share specific techniques for handling everything from databases to state. For managers, they provide invaluable help in goal-setting, decision-making, and interacting with technical teams. Whatever your role, you'll find practical risk/benefit guidance for setting priorities-and getting maximum "bang for the buck." - Simplifying architectures and avoiding "over-engineering"- Scaling via cloning, replication, separating functionality, and splitting data sets- Scaling out, not up- Getting more out of databases without compromising scalability- Avoiding unnecessary redirects and redundant double-checking- Using caches and content delivery networks more aggressively, without introducing unacceptable complexity- Designing for fault tolerance, graceful failure, and easy rollback- Striving for statelessness when you can; efficiently handling state when you must- Effectively utilizing asynchronous communication- Learning quickly from mistakes, and much more

    Max explains to you why programmers suck, and how to suck less as a programmer. There's just too much complex stuff in the world. Complex stuff can't be used, and it breaks too easily. Complexity is stupid. Simplicity is smart.Understanding Software covers many areas of programming, from how to write simple code to profound insights into programming, and then how to suck less at what you do! You'll discover the problems with software complexity, the root of its causes, and how to use simplicity to create great software. You'll examine debugging like you've never done before, and how to get a handle on being happy while working in teams.Max brings a selection of carefully crafted essays, thoughts, and advice about working and succeeding in the software industry, from his legendary blog Code Simplicity. Max has crafted forty-three essays which have the power to help you avoid complexity and embrace simplicity, so you can be a happier and more successful developer.Max's technical knowledge, insight, and kindness, has earned him code guru status, and his ideas will inspire you and help refresh your approach to the challenges of being a developer. What you will learn See how to bring simplicity and success to your programming world Clues to complexity - and how to build excellent software Simplicity and software design Principles for programmers The secrets of rockstar programmers Max's views and interpretation of the Software industry Why Programmers suck and how to suck less as a programmer Software design in two sentences What is a bug? Go deep into debugging About the Author Max Kanat-Alexander is the Technical Lead for Code Health at Google, where he does various work that helps other software engineers be more productive, including writing developer tools, creating educational programs, guiding refactoring efforts, and more.His roles at Google have included Tech Lead for YouTube on the Xbox, work on the Java JDK, JVM, and other aspects of Java for Google, and Technical Lead for Engineering Practices for YouTube, where he's supported developers across all of YouTube in best practices and engineering productivity. Max is a former Chief Architect of the Bugzilla Project, where he was one of the two main developers of the well-known Bugzilla Bug-Tracking System, used by thousands of organizations worldwide. Max also writes the legendary programming industry blog, Code Simplicity, where he challenges Complexity and embraces Simplicity for the programming industry.Max has been involved for several years at Google with enabling developers to work more effectively and helping shape engineering practice, and in this highly readable collection of essays you can share the best of his experience. Table of Contents Part One: Principles for Programmers Part Two: Software Complexity and its Causes Part Three: Simplicity and Software Design Part Four: Debugging Part Five:

    Software Craftsmanship transcends software engineering, demonstrating that quality software can't simply be manufactured: it must be built by craftspeople with pride in their work, and a personal commitment to excellence. In Software Craftsmanship, Pete McBreen focuses on the craft of software development, explaining why current software engineering techniques often fail, and offering programmers a new path to excellence. Just as the modern carpenter benefits from better tools, materials, and understanding, the modern programmer can benefit from better computers, reusable components, and more robust languages -- but only if he or she is prepared to treat the software profession as a true craft. McBreen explains what software craftsmanship means, how its affects users, and how it changes the developer's relationship with customers. He introduces the concepts of software apprentices and journeymen, shows what can (and can't) be learned from the software engineering movement, and presents specific steps you can take now to move towards craftsmanship in your work -- and your organization.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    It’s easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you’ll expand your web programming skills, using tools such as HTML and JavaScript.This step-by-step guide is ideal whether you’re a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.Learn HTML, CSS, JavaScript, and SVG basicsDynamically generate web page elements from your data—and choose visual encoding rules to style themCreate bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layoutsUse smooth, animated transitions to show changes in your dataIntroduce interactivity to help users explore data through different viewsCreate customized geographic maps with dataExplore hands-on with downloadable code and over 100 examples