With jokes, puns, and a rigorous problem solving based approach. You can download all the code samples used in the book from here: http://www.robmiles.com/s/Yellow-Book...

    Booch illustrates essential concepts, explains the method, and shows successful applications in a variety of fields. Booch also gives pragmatic advice on a host of issues, including classification, implementation strategies, and cost-effective project management. A two-time winner of Software Development's coveted Jolt Cola Product Excellence Award!

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    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.

    Tom has a simple philosophy: you can treat Oracle as a black box and just stick data into it or you can understand how it works and exploit it as a powerful computing environment. If you choose the latter, then you’ll find that there are few information management problems that you cannot solve quickly and elegantly. This fully revised second edition covers the latest developments in Oracle Database 11g. Each feature is taught in a proof-by-example manner, not only discussing what it is, but also how it works, how to implement software using it, and the common pitfalls associated with it. Don’t treat Oracle Database as a black-box. Get this book. Get under the hood. Turbo-charge your career. Fully-revised to cover Oracle Database 11g Proof-by-example approach: Let the evidence be your guide Dives deeply into Oracle Databases’s most powerful features What you’ll learn Develop an evidence-based approach to problem solving Manage transactions in highly concurrent environments Speed access to data through table and index design Manage files and memory structures for performance and reliability Scale up through partitioning and parallel processing Load and unload data to interface with external systems Think for yourself; don’t take Tom’s word for it! Who this book is for This book is aimed at Oracle Database administrators, at PL/SQL and Java developers writing code to be deployed inside the database, and at developers of external applications who use Oracle Database as a data store. It is the go to book for those wishing to create efficient and scalable applications.

    And it’s still short, profusely illustrated…and best of all–fun to read.If you’ve read it before, you’ll rediscover what made Don’t Make Me Think so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.

    You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. Beautiful Code is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International.

    From Stephen Levy—the author who made "hackers" a household word—comes this account of a revolution that is already affecting every citizen in the twenty-first century. Crypto tells the inside story of how a group of "crypto rebels"—nerds and visionaries turned freedom fighters—teamed up with corporate interests to beat Big Brother and ensure our privacy on the Internet. Levy's history of one of the most controversial and important topics of the digital age reads like the best futuristic fiction.

    The RESTful approach to web services design is rapidly become the approach of choice. Unfortunately, too few people have truly solid REST API design skills, and discussions of REST can become bogged down in dry theory.The REST API Design Handbook is a simple, practical guide to aid software engineers and software architects create lasting, scalable APIs based on REST architectural principles. The book provides a sound foundation in discussing the constraints that define a REST API. It quickly goes beyond that into the practical aspects of implementing such an API in the real world.Written by cloud computing expert George Reese, The REST API Design Handbook reflects hands on work in consuming many different third party APIs as well the development of REST-based web services APIs. It addresses all of the debates the commonly arise while creating these APIs. Subjects covered include:* REST architectural constraints* Using HTTP methods and response codes in an API* Authenticating RESTful API calls* Versioning* Asynchronous Operations* Pagination and Streaming* Polling and Push Notifications* Rate Limiting

    It gives you hundreds of solutions to real-world problems, with clear explanations and thousands of lines of code you can use in your own projects.From data structures and algorithms, to integration with cutting-edge technologies, the Ruby Cookbook has something for every programmer. Beginners and advanced Rubyists alike will learn how to program with:Strings and numbersArrays and hashesClasses, modules, and namespacesReflection and metaprogrammingXML and HTML processingRuby on Rails (including Ajax integration)DatabasesGraphicsInternet services like email, SSH, and BitTorrentWeb servicesMultitaskingGraphical and terminal interfacesIf you need to write a web application, this book shows you how to get started with Rails. If you're a system administrator who needs to rename thousands of files, you'll see how to use Ruby for this and other everyday tasks. You'll learn how to read and write Excel spreadsheets, classify text with Bayesian filters, and create PDF files. We've even included a few silly tricks that were too cool to leave out, like how to blink the lights on your keyboard.The Ruby Cookbook is the most useful book yet written about Ruby. When you need to solve a problem, don't reinvent the wheel: look it up in the Cookbook.

    Savvy Java developers know that not all testing is created equal. In addition to traditional functional testing, many shops are adopting developer testing techniques such as unit testing. Specific, automated tests are created to verify the accuracy and function of code while or even before it's written - to catch bugs early.Unit Testing in Java teaches how to write good tests that are concise and to the point, useful, and maintainable. This book focuses on tools and practices specific to Java. It introduces emerging techniques like specification by example and behavior-driven development, and shows how to add robust practices into developers' toolkits.Table of ContentsI. FOUNDATIONS1. The promise of good tests2. In search of good3. Test doublesII. CATALOG4. Readability5. Maintainability6. TrustworthinessIII. DIVERSIONS7. Testable design8. Writing tests in other JVM languages9. Speeding up test executionsAppendix A: JUnit primerAppendix B: Extending JUnitIndex

    The book details the major subsystems and features of the Linux kernel, including its design, implementation, and interfaces. It covers the Linux kernel with both a practical and theoretical eye, which should appeal to readers with a variety of interests and needs. The author, a core kernel developer, shares valuable knowledge and experience on the 2.6 Linux kernel. Specific topics covered include process management, scheduling, time management and timers, the system call interface, memory addressing, memory management, the page cache, the VFS, kernel synchronization, portability concerns, and debugging techniques. This book covers the most interesting features of the Linux 2.6 kernel, including the CFS scheduler, preemptive kernel, block I/O layer, and I/O schedulers. The third edition of Linux Kernel Development includes new and updated material throughout the book:An all-new chapter on kernel data structuresDetails on interrupt handlers and bottom halvesExtended coverage of virtual memory and memory allocationTips on debugging the Linux kernelIn-depth coverage of kernel synchronization and lockingUseful insight into submitting kernel patches and working with the Linux kernel community

    For this special hardcover edition, two new appendixes on locales and standard library exception safety (also available at www.research.att.com/ bs/) have been added. The result is complete, authoritative coverage of the C++ language, its standard library, and key design techniques. Based on the ANSI/ISO C++ standard, The C++ Programming Language provides current and comprehensive coverage of all C++ language features and standard library components. For example:abstract classes as interfaces class hierarchies for object-oriented programming templates as the basis for type-safe generic software exceptions for regular error handling namespaces for modularity in large-scale software run-time type identification for loosely coupled systems the C subset of C++ for C compatibility and system-level work standard containers and algorithms standard strings, I/O streams, and numerics C compatibility, internationalization, and exception safety Bjarne Stroustrup makes C++ even more accessible to those new to the language, while adding advanced information and techniques that even expert C++ programmers will find invaluable.

     The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. The authors - both Microsoft MVPs in Azure - present both conceptual and how-to content for key areas, including: Azure Websites and Azure Cloud Services Azure Virtual Machines Azure Storage Azure Virtual Networks Databases Azure Active Directory Management tools Business scenarios Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the “Microsoft Azure Essentials” series.

    How's that possible? Google revealed the secret through a project called Kubernetes, an open source cluster orchestrator (based on its internal Borg system) that radically simplifies the task of building, deploying, and maintaining scalable distributed systems in the cloud. This practical guide shows you how Kubernetes and container technology can help you achieve new levels of velocity, agility, reliability, and efficiency.Authors Kelsey Hightower, Brendan Burns, and Joe Beda--who've worked on Kubernetes at Google--explain how this system fits into the lifecycle of a distributed application. You will learn how to use tools and APIs to automate scalable distributed systems, whether it is for online services, machine-learning applications, or a cluster of Raspberry Pi computers.Explore the distributed system challenges that Kubernetes addressesDive into containerized application development, using containers such as DockerCreate and run containers on Kubernetes, using Docker's Image format and container runtimeExplore specialized objects essential for running applications in productionReliably roll out new software versions without downtime or errorsGet examples of how to develop and deploy real-world applications in Kubernetes