—Andrew Hedges, Tapulous
—Paul Irish, developer advocate, Google Chrome
“This is not a book for those looking for shortcuts; rather it is hard-won experience distilled into a guided tour. It’s one of the few books on JS that I’ll recommend without hesitation.”
—Alex Russell, TC39 member, software engineer, Google
Node.js, MongoDB and AngularJS Web Development is a complete guide for web programmers who want to integrate these three technologies into full working solutions. It begins with concise, crystal-clear tutorials on each of the three technologies and then quickly moves on to building several common web applications.
Readers will learn how to use Node.js and MongoDB to build more scalable, high-performance sites, how to leverage AngularJS's innovative MVC approach to structure more effective pages and applications, and how to use all three together to deliver outstanding next-generation Web solutions.
With this book you will:Explore how the this binding points to objects based on how the function is calledLook into the nature of JS objects and why you’d need to point to themLearn how developers use the mixin pattern to fake classes in JSExamine how JS’s prototype mechanism forms links between objectsLearn how to move from class/inheritance design to behavior delegationUnderstand how the OLOO (objects-linked-to-other-objects) coding style naturally implements behavior delegation
Learn how to use the latest techniques, best practices, and current web standards—including HTML5 and CSS3. Each chapter provides exercises to help you to learn various techniques, and short quizzes to make sure you understand key concepts.
Nicholas C. Zakas worked with the Web for over a decade. He has worked on corporate intranet applications used by some of the largest companies in the world and large-scale consumer websites such as MyYahoo! and the Yahoo! homepage. He regularly gives talks at companies and conferences regarding front-end best practices and new technology.
Learning Python, Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators.
Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete.
The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding.
Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python, Second Edition is your best choice.
This book is a perfect companion to jQuery Pocket Reference.
The book serves two very different audiences: the curious science reader and the technical computational reader. The chapters build in mathematical sophistication, so that the first five are accessible to the general academic reader. While other chapters are much more mathematical in nature, each one contains something for both audiences. For example, the authors include entertaining asides such as how search engines make money and how the Great Firewall of China influences research.
The book includes an extensive background chapter designed to help readers learn more about the mathematics of search engines, and it contains several MATLAB codes and links to sample web data sets. The philosophy throughout is to encourage readers to experiment with the ideas and algorithms in the text.
Any business seriously interested in improving its rankings in the major search engines can benefit from the clear examples, sample code, and list of resources provided.Many illustrative examples and entertaining asides MATLAB code Accessible and informal style Complete and self-contained section for mathematics review
The important stuff you need to know:Dive into page design. Quickly learn the basics of working with text, images, links, and tables.Edit pages in Live view. Dynamically add elements to live pages and immediately see the results.Design once, and for all. Build fluid-grid sites that adapt themselves to desktop, tablet, and mobile devices.Troubleshoot your HTML. Use the new Element Quick View to reveal the hierarchy of page elements.Style with ease. Tap Dreamweaver’s enhanced CSS Designer to copy and paste styles.Enhance Dreamweaver. Get new program features with add-ons that integrate directly with Dreamweaver.Bring your pages to life. Use jQuery UI to add interactive page elements like tabbed content panels.Create universal pages. Avoid browser incompatibility with workarounds.
This book covers:Arrays and lists: the most common data structuresStacks and queues: more complex list-like data structuresLinked lists: how they overcome the shortcomings of arraysDictionaries: storing data as key-value pairsHashing: good for quick insertion and retrievalSets: useful for storing unique elements that appear only onceBinary Trees: storing data in a hierarchical mannerGraphs and graph algorithms: ideal for modeling networksAlgorithms: including those that help you sort or search dataAdvanced algorithms: dynamic programming and greedy algorithms
Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shellLeverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlibUse one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and StormLearn how to deploy interactive, batch, and streaming applicationsConnect to data sources including HDFS, Hive, JSON, and S3Master advanced topics like data partitioning and shared variables
This isn’t a book on theory. With detailed examples, sample scripts, and solid advice, software engineers with operations experience will learn specific techniques that 9apps routinely uses in its cloud infrastructures.Build cloud applications with the "rip, mix, and burn" approachGet a crash course on Amazon Web ServicesLearn the top ten tips for surviving outages in the cloudUse elasticsearch to build a dependable NoSQL data storeCombine AWS and PostgreSQL to build an RDBMS that scales wellCreate a highly available document database with MongoDB Replica Set and SimpleDBAugment Redis with AWS to provide backup/restore, failover, and monitoring capabilitiesWork with CloudFront and Route 53 to safeguard global content delivery
• Creating robust, secure code for both the design and development levels
• Maximizing usability, reusability, accessibility, clarity, security, and performance
• Taking full advantage of the browser environments your code will run in
• Accessing the DOM to create behaviors and data interactions
• Storing data for easy and efficient access
• Using variables, functions, loops, and other core language features
• Interacting with users through events
• Communicating with servers through Ajax
Written by leaders of the international Erlang community -- and based on their training material -- Erlang Programming focuses on the language's syntax and semantics, and explains pattern matching, proper lists, recursion, debugging, networking, and concurrency.
This book helps you:
Understand the strengths of Erlang and why its designers included specific featuresLearn the concepts behind concurrency and Erlang's way of handling itWrite efficient Erlang programs while keeping code neat and readableDiscover how Erlang fills the requirements for distributed systemsAdd simple graphical user interfaces with little effortLearn Erlang's tracing mechanisms for debugging concurrent and distributed systemsUse the built-in Mnesia database and other table storage features
Erlang Programming provides exercises at the end of each chapter and simple examples throughout the book.
Once you understand how React works, you’ll build a complete custom Whinepad app that helps users rate wines and keep notes. You’ll quickly learn why some developers consider React the key to the web app development puzzle.Set up React and write your first "Hello world" web appCreate and use custom React components alongside generic DOM componentsBuild a data table component that lets you edit, sort, search, and export its contentsUse the JSX syntax extension as an alternative to function callsSet up a lean, low-level build process that helps you focus on ReactBuild a complete custom app that lets you store data on the clientUse ESLint, Flow, and Jest tools to check and test your code as your app evolvesManage communication between components with Flux
By reading this book and working step by step through the essential tasks discussed, you can learn to:
Install Web and application servers Enable and configure remote administration Perform administration using the command-line and Windows PowerShell Configure Web sites, servers, and virtual directories Manage the global IIS configuration settings Customize Web content, HTTP headers, and error messages Use included files, custom file types, and caching Set up logging and track usage statistics
This book is designed for anyone who wants to learn how to manage IIS 8, including those who manage or support computers running Windows Server 2012 and Windows Server 2012 R2. Inside, you'll find comprehensive overviews, step-by-step procedures, frequently used tasks, documented examples, and much more. One of the goals is to keep the content so concise that the book remains compact and easy to navigate while at the same time ensuring that the book is packed with as much information as possible--making it a valuable resource.
This book covers the following extensions in version 1.8:Tab managementAccordion menusDialog boxesButtonsProgress barsSlidersDate pickersAutocompletersDrag and drop managementSelection, resizing, and switching of elementsNew visual effects
More information at http://rpjs.co.
This book was borne out of frustration. I have been in software engineering for many years, and when I started learning Node.js and Backbone.js, I learned the hard way that their official documentation and the Internet lack in quick start guides and examples. Needless to say, it was virtually impossible to find all of the tutorials for JS-related modern technologies in one place.
What to Expect
A typical reader of RPJS should expect a collection of quick start guides, tutorials and suggestions (e.g., Git workflow). There is a lot of coding and not much theory. All the theory we cover is directly related to some of the practical aspects, and essential for better understanding of technologies and specific approaches in dealing with them, e.g., JSONP and cross-domain calls.
In addition to coding examples, the book covers virtually all setup and deployment step-by-step.
You'll learn on the examples of Chat web/mobile applications starting with front-end components. There are a few versions of these applications, but by the end we'll put front-end and back-end together and deploy to the production environment. The Chat application contains all of the necessary components typical for a basic web app, and will give you enough confidence to continue developing on your own, apply for a job/promotion or build a startup!
Who This Book is For
What This Book is Not
Rapid Prototyping with JS is neither a comprehensive book on several frameworks, libraries or technologies (or just a particular one), nor a reference for all the tips and tricks of web development. Examples similar to ones in this book might be publicly available online.
Even more so, if you're not familiar with fundamental programming concepts like loops, if/else statements, arrays, hashes, object and functions, you won't find them in Rapid Prototyping with JS.
Packed with examples and exercises, Natural Language Processing with Python will help you:
Extract information from unstructured text, either to guess the topic or identify "named entities"Analyze linguistic structure in text, including parsing and semantic analysisAccess popular linguistic databases, including WordNet and treebanksIntegrate techniques drawn from fields as diverse as linguistics and artificial intelligence
This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.