—Andrew Hedges, Tapulous
Now Steve returns with fresh perspective to reexamine the principles that made Don’t Make Me Think a classic–with updated examples and a new chapter on mobile usability. 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.
“After reading it over a couple of hours and putting its ideas to work for the past five years, I can say it has done more to improve my abilities as a Web designer than any other book.”
–Jeffrey Zeldman, author of Designing with Web Standards
—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
Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code.Explore Python’s major built-in object types such as numbers, lists, and dictionariesCreate and process objects with Python statements, and learn Python’s general syntax modelUse functions to avoid code redundancy and package code for reuseOrganize statements, functions, and other tools into larger components with modulesDive into classes: Python’s object-oriented programming tool for structuring codeWrite large programs with Python’s exception-handling model and development toolsLearn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
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.
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
• 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
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
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.
Learn how to craft user interfaces, build forms, and manage data, then deploy as either an HTML5 offline app or as a native app for Android, iOS, or Blackberry.Define classes and create instances with Sencha Touch’s object-oriented abstractionBuild user interfaces with the framework’s extensive set of high-level componentsDevelop apps that consume complex data, whether it’s stored locally or on remote serversOrganize your application code in a consistent, predictable, and maintainable wayUse Sass stylesheets to craft a personalized look and feel for your appDebug, test, and document your app with WebKit Web Inspector, Jasmine, Siesta, and JSDuckUse the Sencha Architect UI designer and IDE to simplify complex project development
Using historical tables, geographical information, and other data, you’ll graph bus breakdowns and accidents and the percentage of subway trains running on time, among other examples. By the end of the book, you’ll be prepared to build your own web-based data visualizations with D3.Join a dataset with elements of a webpage, and modify the elements based on the dataMap data values onto pixels and colors with D3’s scale objectsApply axis and line generators to simplify aspects of building visualizationsCreate a simple UI that allows users to investigate and compare dataUse D3 transitions in your UI to animate important aspects of the dataGet an introduction to D3 layout tools for building more sophisticated visualizations
Solve problems involving events, effects, dimensions, forms, themes, and user interface elementsLearn how to enhance your forms, and how to position and reposition elements on a pageMake the most of jQuery's event management system, including custom events and custom event dataCreate UI elements-such as tabs, accordions, and modals-from scratchOptimize your code to eliminate bottlenecks and ensure peak performanceLearn how to test your jQuery applications
The book's contributors include:
Cody LindleyJames PadolseyRalph WhitbeckJonathan SharpMichael Geary and Scott GonzálezRebecca MurpheyRemy SharpAriel FleslerBrian CherneJörn ZaeffererMike HostetlerNathan SmithRichard D. WorthMaggie Wachs, Scott Jehl, Todd Parker, and Patty TolandRob Burns
Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments.Get a high-level overview of HDFS and MapReduce: why they exist and how they workPlan a Hadoop deployment, from hardware and OS selection to network requirementsLearn setup and configuration details with a list of critical propertiesManage resources by sharing a cluster across multiple groupsGet a runbook of the most common cluster maintenance tasksMonitor Hadoop clusters—and learn troubleshooting with the help of real-world war storiesUse basic tools and techniques to handle backup and catastrophic failure