But there is more power waiting to be unlockedJavaScript is capable of full objectoriented capabilities, and by applyingobject-oriented principles, best practices, and design patterns to your code, you can make it more powerful, more efficient, and easier to work with alone or as part of a team.With Pro JavaScript Design Patterns, you'll start with the basics of objectoriented programming in JavaScript applicable to design patterns, including making JavaScript more expressive, inheritance, encapsulation, information hiding, and more. With that covered, you can kickstart your JavaScript development in the second part of the book, where you'll find detail on how to implement and take advantage of several design patterns in JavaScript, including composites, decorators, facades, adapters, and many more.Each chapter is packed with realworld examples of how the design patterns are best used and expert advice on writing better code, as well as what to watch out for. Along the way you'll discover how to create your own libraries and APIs for even more efficient coding.Master the basics of objectoriented programming in JavaScript, as they apply to design patterns Apply design patterns to your kickstart your JavaScript development Work through several realworld examples What you'll learn How to apply objectoriented programming techniques in JavaScript How to take advantage of inheritance, interfaces, and encapsulation and information hiding to kickstart your JavaScript development How to implement several design patterns in your JavaScript projects, including factory, facade, bridge, composite, adapter, decorator, flyweight, proxy, command, observer, and chain of responsibility How to make your code easier to manage in a team environment, as well as on your own How to create your own libraries and APIs Who this book is forThis book will be an invaluable learning tool for any experienced JavaScript developer. Table of Contents Expressive JavaScript Interfaces Encapsulation and Information Hiding Inheritance The Singleton Pattern Chaining The Factory Pattern The Bridge Pattern The Composite Pattern The Facade Pattern The Adapter Pattern The Decorator Pattern The Flyweight Pattern The Proxy Pattern The Observer Pattern The Command Pattern The Chain of Responsibility Pattern

    This work includes the practices and techniques of Responsibility-Driven Design, and show how to apply them as you develop modern object-based applications. It is suitable for software designers and students.

    You'll learn how to use Haskell in a variety of practical ways, from short scripts to large and demanding applications. Real World Haskell takes you through the basics of functional programming at a brisk pace, and then helps you increase your understanding of Haskell in real-world issues like I/O, performance, dealing with data, concurrency, and more as you move through each chapter. With this book, you will:Understand the differences between procedural and functional programming Learn the features of Haskell, and how to use it to develop useful programs Interact with filesystems, databases, and network services Write solid code with automated tests, code coverage, and error handling Harness the power of multicore systems via concurrent and parallel programming You'll find plenty of hands-on exercises, along with examples of real Haskell programs that you can modify, compile, and run. Whether or not you've used a functional language before, if you want to understand why Haskell is coming into its own as a practical language in so many major organizations, Real World Haskell is the best place to start.

    You'll learn the concepts by tying them to on-the-job tasks, blending practice and theory in a way that only Head First can. With this book, you'll learn skills through a variety of genuine scenarios, from fixing a malfunctioning office network to planning a network for a high-technology haunted house. You'll learn exactly what you need to know, rather than a laundry list of acronyms and diagrams. This book will help you:Master the functionality, protocols, and packets that make up real-world networking Learn networking concepts through examples in the field Tackle tasks such as planning and diagramming networks, running cables, and configuring network devices such as routers and switches Monitor networks for performance and problems, and learn troubleshooting techniques Practice what you've learned with nearly one hundred exercises, questions, sample problems, and projects Head First's popular format is proven to stimulate learning and retention by engaging you with images, puzzles, stories, and more. Whether you're a network professional with a CCNA/CCNP or a student taking your first college networking course, Head First Networking will help you become a network guru.

    This book shows you what writing and maintaining testable JavaScript for the client- or server-side actually entails, whether you’re creating a new application or rewriting legacy code.From methods to reduce code complexity to unit testing, code coverage, debugging, and automation, you’ll learn a holistic approach for writing JavaScript code that you and your colleagues can easily fix and maintain going forward. Testing JavaScript code is complicated. This book helps you simply the process considerably.Get an overview of Agile, test-driven development, and behavior-driven developmentUse patterns from static languages and standards-based JavaScript to reduce code complexityLearn the advantages of event-based architectures, including modularity, loose coupling, and reusabilityExplore tools for writing and running unit tests at the functional and application levelGenerate code coverage to measure the scope and effectiveness of your testsConduct integration, performance, and load testing, using Selenium or CasperJSUse tools for in-browser, Node.js, mobile, and production debuggingUnderstand what, when, and how to automate your development processes

    Through long-form interviews with them we learn exactly how they did it, what their lives are like now, and what they recommend to anyone just starting out.Of course, "success" is a relative term. During the book you'll meet people ranging from Mark, who amassed a portfolio worth millions, to Serena, whose few houses saved her family from financial ruin. And along the way you'll meet Kim, who was unstoppable prior to the credit crunch, nearly lost everything, and found an innovative way to stay afloat.The day-to-day life of a property investor isn't necessarily what you'd expect either. Fast cars and exotic holidays are represented... but so too are sprinting in pursuit of rent cheques, pottering around in a dressing gown all day, and helping a tenant with cancer by driving her to hospital appointments.This book is less of a "how to" than a "how you could". It won't give you one formula for success, but many practical ideas and inspiring examples that you can use to craft your own property investment story.With all jargon clearly explained, this book will be an educational and entertaining read for those who are yet to get started, as well as a rich source of new ideas for more experienced investors.Praise for "Beyond The Bricks" "Put this on your list of property must-reads" - Property Tribes, Book of the Month"A compelling read" - Property118.com"These stories will entertain and inspire you all the way through to the end" - Your Property Network magazine

    This makes the book random-access: Items are easy to browse and study in whatever order the reader needs. I will be recommending "Effective Python" to students as an admirably compact source of mainstream advice on a very broad range of topics for the intermediate Python programmer. " Brandon Rhodes, software engineer at Dropbox and chair of PyCon 2016-2017" It s easy to start coding with Python, which is why the language is so popular. However, Python s unique strengths, charms, and expressiveness can be hard to grasp, and there are hidden pitfalls that can easily trip you up. " Effective Python " will help you master a truly Pythonic approach to programming, harnessing Python s full power to write exceptionally robust and well-performing code. Using the concise, scenario-driven style pioneered in Scott Meyers best-selling "Effective C++, " Brett Slatkin brings together 59 Python best practices, tips, and shortcuts, and explains them with realistic code examples. Drawing on years of experience building Python infrastructure at Google, Slatkin uncovers little-known quirks and idioms that powerfully impact code behavior and performance. You ll learn the best way to accomplish key tasks, so you can write code that s easier to understand, maintain, and improve. Key features includeActionable guidelines for all major areas of Python 3.x and 2.x development, with detailed explanations and examples Best practices for writing functions that clarify intention, promote reuse, and avoid bugs Coverage of how to accurately express behaviors with classes and objects Guidance on how to avoid pitfalls with metaclasses and dynamic attributes More efficient approaches to concurrency and parallelism Better techniques and idioms for using Python s built-in modules Tools and best practices for collaborative development Solutions for debugging, testing, and optimization in order to improve quality and performance "

    Who are these people, what motivates them, and why should you care?Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls “an intellectual Wild West.”The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.

    Monkey has been specifically designed for this book: it's a language that looks a lot like C, has first class functions, closures, strings, hashes and arrays and its only implementation is the one we build in the book.In contrast to text books on interpreters & compilers, the focus of this book is working code. Code is not just found in the appendix -- no, nearly every page contains a snippet! And not only that, but also tests. The code presented in the book is fully tested and the test suite is included.For more information, check out: http://interpreterbook.com/

    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.

    Feynman gave his famous course on computation at the California Institute of Technology, he asked Tony Hey to adapt his lecture notes into a book. Although led by Feynman, the course also featured, as occasional guest speakers, some of the most brilliant men in science at that time, including Marvin Minsky, Charles Bennett, and John Hopfield. Although the lectures are now thirteen years old, most of the material is timeless and presents a “Feynmanesque” overview of many standard and some not-so-standard topics in computer science such as reversible logic gates and quantum computers.

    R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks. Lander's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You'll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you'll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you're done, you won't just know how to write R programs, you'll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES - Exploring R, RStudio, and R packages - Using R for math: variable types, vectors, calling functions, and more - Exploiting data structures, including data.frames, matrices, and lists - Creating attractive, intuitive statistical graphics - Writing user-defined functions - Controlling program flow with if, ifelse, and complex checks - Improving program efficiency with group manipulations - Combining and reshaping multiple datasets - Manipulating strings using R's facilities and regular expressions - Creating normal, binomial, and Poisson probability distributions - Programming basic statistics: mean, standard deviation, and t-tests - Building linear, generalized linear, and nonlinear models - Assessing the quality of models and variable selection - Preventing overfitting, using the Elastic Net and Bayesian methods - Analyzing univariate and multivariate time series data - Grouping data via K-means and hierarchical clustering - Preparing reports, slideshows, and web pages with knitr - Building reusable R packages with devtools and Rcpp - Getting involved with the R global community

    If you have received one of these copies, please contact the Pragmatic Bookshelf at support@pragprog.com, and we will replace it for you.Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. Graphics and examples make these computer science concepts understandable and relevant. You can use these techniques with any language; examples in the book are in JavaScript, Python, and Ruby.Use Big O notation, the primary tool for evaluating algorithms, to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Jay Wengrow brings to this book the key teaching practices he developed as a web development bootcamp founder and educator.Use these techniques today to make your code faster and more scalable.

    Spring Boot and Spring Cloud offer Java developers an easy migration path from traditional monolithic Spring applications to microservice-based applications that can be deployed to multiple cloud platforms. The Spring Boot and Spring Cloud frameworks let you quickly build microservices that are ready to be deployed to a private corporate cloud or a public cloud like Amazon Web Services (AWS) or Pivotal’s CloudFoundry.Spring Microservices in Action teaches you how to use the Spring Boot and Spring Cloud frameworks to build and deploy microservice-based cloud applications. You'll begin with an introduction to the microservice pattern and how to build microservices with Spring Boot and Spring Cloud. Then you'll get hands-on and discover how to configure Spring Boot. Using lots of real-world examples, you'll learn topics like service discovery with Spring Cloud, Netflix Eureka, and Ribbon. Next, you'll find out how to handle potential problems using client-side resiliency patterns with Spring and Netflix Hystrix. This book also covers implementing a service gateway with Spring Cloud and Zuul and event processing in the cloud with Spring Cloud Stream. Finally, you'll learn to deploy and push your application to cloud services, including AWS and CloudFoundry. By the end of this book, you'll not only be able to build your own microservice-based applications, but how operationalize and scale your microservices so they can deployed to a private or public cloud.

    The modern economy—the world itself—relies on technology. Demand for the people who can produce it far outweighs the supply. So why do developers occupy largely subordinate roles in the corporate structure? Developer Hegemony explores the past, present, and future of the corporation and what it means for developers. While it outlines problems with the modern corporate structure, it’s ultimately a play-by-play of how to leave the corporate carnival and control your own destiny. And it’s an emboldening, specific vision of what software development looks like in the world of developer hegemony—one where developers band together into partner firms of “efficiencers,” finally able to command the pay, respect, and freedom that’s earned by solving problems no one else can. Developers, if you grow tired of being treated like geeks who can only be trusted to take orders and churn out code, consider this your call to arms. Bring about the autonomous future that’s rightfully yours. It’s time for developer hegemony.