Sexy.js is a lightweight JavaScript library that provides parallel request and serial response sequential Ajax functionality. It allows combining and manipulating data from multiple asynchronous sources while maintaining proper callback execution order. Sexy.js makes sequential Ajax patterns cleaner, faster and more scalable compared to traditional serial or parallel patterns. It provides an expressive and chainable API to handle common Ajax requests like JSON, HTML, scripts and more in a sequential manner.
Akka and the Zen of Reactive System DesignLightbend
In order to be successful with asynchronous programming, when coming from synchronous execution models you need to change your mindset and look at things from a slightly different perspective. In order to use Akka at it's best, you will have to change the way you think about application design (loosen coupling in space and time between components), and re-think what you've maybe learned in the past.
In this talk we uncover a number of rules that serve as a guide in designing concurrent distributed applications, how those apply to Akka, and how they can help you in daily app development.
Aimed at developers through architects, Akka team happy hAkker, Konrad Malawski, bends your parameters with regards to application design and asynchronous execution models.
The document discusses how RSpec achieves "zero monkey patching mode" in version 3.0. It describes how RSpec previously extensively used monkey patching but has worked to reduce this in recent versions. It details how RSpec loads spec files, builds example groups and hierarchies, runs examples, and makes expectations without monkey patching core objects or classes. Key aspects covered include the rspec executable, loading files, building example groups, running examples, and the expect-based syntax.
Good karma: UX Patterns and Unit Testing in Angular with KarmaExoLeaders.com
The document discusses unit testing in Angular with Karma. It provides examples of UX patterns in Angular like binding elements to variables, lists, and click handlers. It also covers what controllers and scopes are and examples of testing components in Angular like services, factories, and UI elements. Hands-on examples are provided for setting up a test environment and writing tests.
This document discusses several popular Java libraries including:
- Dependency injection frameworks like Guice and Spring
- Logging with SLF4J
- Collections and utilities with Guava
- HTTP clients like OkHttp
- Reactive programming with RxJava
- REST with Retrofit
- Asynchronous programming with JDeferred
- Event handling with MBassador
- Code generation with Lombok and ByteBuddy
- Testing utilities like JUnitParams, Mockito, Jukito, and Spock
- Waiting assertions with Awaitility and REST testing with Rest-assured.
Getting to Grips with SilverStripe TestingMark Rickerby
The document discusses testing in SilverStripe, including how to set up continuous integration with buildbot to run tests on every code commit, different types of tests like unit tests, integration tests, and functional tests, and how to write tests using the Sapphire testing tools and assertions. It provides guidance on when and what to test, such as individual object behavior, system boundaries, and web application flows, as well as best practices for testing.
s React.js a library or a framework? In any case, it is a new way of working that represents a revolution in the way of building web projects. It has very particular characteristics that allow us, for instance, to render React code from the server side, or to include React components from Twig tags. During this talk we will present React.js, we will explore how to take advantage of it from PHP projects and we will give answers to practical problems such as universal (isomorphical) rendering and the generation of React.js forms from Symfony forms without duplication of efforts.
This document contains Swift code for testing a HTTP request to an API using the Alamofire and Mockingjay libraries. It defines a test spec class with a describe block for "hoge" and a context block for "fuga". Within the "fuga" context, a beforeEach stub is set up to mock API responses from the "hogefugapiyo.com" domain. The single "piyo" test makes a request, asserts the response is not nil, and prints the results.
This document provides an overview of React, including initial reactions to it, fundamental concepts like components and one-way data flow, and how the virtual DOM works. Some key points covered include:
- Initial reactions to React were mixed, with some finding it "ugly" but others seeing benefits like separation of concerns with components.
- Everything in React is a component, with data flowing in one direction from parent to child via props. State is mutable within a component.
- By using a virtual DOM, React can efficiently update the real DOM by only making necessary changes, keeping the interface fast and pure.
Akka and the Zen of Reactive System DesignLightbend
In order to be successful with asynchronous programming, when coming from synchronous execution models you need to change your mindset and look at things from a slightly different perspective. In order to use Akka at it's best, you will have to change the way you think about application design (loosen coupling in space and time between components), and re-think what you've maybe learned in the past.
In this talk we uncover a number of rules that serve as a guide in designing concurrent distributed applications, how those apply to Akka, and how they can help you in daily app development.
Aimed at developers through architects, Akka team happy hAkker, Konrad Malawski, bends your parameters with regards to application design and asynchronous execution models.
The document discusses how RSpec achieves "zero monkey patching mode" in version 3.0. It describes how RSpec previously extensively used monkey patching but has worked to reduce this in recent versions. It details how RSpec loads spec files, builds example groups and hierarchies, runs examples, and makes expectations without monkey patching core objects or classes. Key aspects covered include the rspec executable, loading files, building example groups, running examples, and the expect-based syntax.
Good karma: UX Patterns and Unit Testing in Angular with KarmaExoLeaders.com
The document discusses unit testing in Angular with Karma. It provides examples of UX patterns in Angular like binding elements to variables, lists, and click handlers. It also covers what controllers and scopes are and examples of testing components in Angular like services, factories, and UI elements. Hands-on examples are provided for setting up a test environment and writing tests.
This document discusses several popular Java libraries including:
- Dependency injection frameworks like Guice and Spring
- Logging with SLF4J
- Collections and utilities with Guava
- HTTP clients like OkHttp
- Reactive programming with RxJava
- REST with Retrofit
- Asynchronous programming with JDeferred
- Event handling with MBassador
- Code generation with Lombok and ByteBuddy
- Testing utilities like JUnitParams, Mockito, Jukito, and Spock
- Waiting assertions with Awaitility and REST testing with Rest-assured.
Getting to Grips with SilverStripe TestingMark Rickerby
The document discusses testing in SilverStripe, including how to set up continuous integration with buildbot to run tests on every code commit, different types of tests like unit tests, integration tests, and functional tests, and how to write tests using the Sapphire testing tools and assertions. It provides guidance on when and what to test, such as individual object behavior, system boundaries, and web application flows, as well as best practices for testing.
s React.js a library or a framework? In any case, it is a new way of working that represents a revolution in the way of building web projects. It has very particular characteristics that allow us, for instance, to render React code from the server side, or to include React components from Twig tags. During this talk we will present React.js, we will explore how to take advantage of it from PHP projects and we will give answers to practical problems such as universal (isomorphical) rendering and the generation of React.js forms from Symfony forms without duplication of efforts.
This document contains Swift code for testing a HTTP request to an API using the Alamofire and Mockingjay libraries. It defines a test spec class with a describe block for "hoge" and a context block for "fuga". Within the "fuga" context, a beforeEach stub is set up to mock API responses from the "hogefugapiyo.com" domain. The single "piyo" test makes a request, asserts the response is not nil, and prints the results.
This document provides an overview of React, including initial reactions to it, fundamental concepts like components and one-way data flow, and how the virtual DOM works. Some key points covered include:
- Initial reactions to React were mixed, with some finding it "ugly" but others seeing benefits like separation of concerns with components.
- Everything in React is a component, with data flowing in one direction from parent to child via props. State is mutable within a component.
- By using a virtual DOM, React can efficiently update the real DOM by only making necessary changes, keeping the interface fast and pure.
A couple of tricks you might not know about. Held at an internal developer show'n'tell in October 2010 at SilverStripe Ltd. in Wellington, New Zealand. Video available at http://vimeo.com/16446690
Outlines the refactoring effort of the SilverStripe CMS codebase, which was an internal project at SilverStripe Ltd. mid 2009. The main objective was to simplify CMS extensions for intermediate frontend/backend developers. In practice this meant a lot of housekeeping, and the consistent usage of jQuery and jQuery UI over PrototypeJS.
Promise patterns provide an asynchronous programming model for JavaScript using promises. Promises allow separating business logic from asynchronous API providers by defining a standard asynchronous API. Common patterns are callbacks, events, and promises. Promises improve on callbacks and events by allowing parallel asynchronous operations, error handling, and progress tracking in a standardized way.
I gave this talk at Squares Conference 2016.
http://squaresconference.com
Code demo from the talk…
http://t7.github.io/react-starter
https://github.com/t7/react-starter
This presentation is prepared for SVCC 2014 on Javascript Testing with Jasmine. It basically goes through basic Jasmine feature and provide tips for developers when they decide to start testing.
The document discusses JavaScript promises and how they can be used to handle asynchronous operations. Promises allow asynchronous functions to return values asynchronously by attaching callbacks to the promise object. This avoids callback hell and makes asynchronous code easier to read and maintain. The document covers how promises can be chained together, executed in parallel, cached, and passed around between functions. It also discusses promise implementations in different frameworks like jQuery, Angular, and how promises can interact across frameworks.
The document discusses Javascript Promises and the Q library for handling asynchronous code. It explains what Promises are, how they avoid callback pyramids or "Pyramids of Doom", and how the Q library can be used to generate and control Promises. The Q library allows wrapping asynchronous functions in Promises and provides methods for chaining Promises together and handling errors across asynchronous operations.
This document provides an overview of several features in the Project Wonder framework called "ERExtensions". It describes utilities for type-safe page naming, version management of static resources, direct action debugging, application rewriting, redirects, batch navigation, hyperlinking with objects, inline templates, lorem ipsum generation, captchas, RSS feeds, caching of enterprise objects, formatting numbers by unit, mutable URLs, thread storage, and more. Many of these features aim to improve functionality, security, performance, and usability compared to standard WebObjects components.
React.js & Om: A hands-on walkthrough of better ways to build web UIsAdam Solove
This presentation introduces React, a library that makes it easier to reason about and build complex user interfaces for the web. The slides will take you through enough of React's structure and API that you can write a simple app and learn more from the React online documentation.
In part two, the slides describe Om, a ClojureScript wrapper around React that also provides a model-level abstraction for managing the data in your web application using ClojuresScript's immutable data structures. This makes it easy to test, to add undo/redo, and many other tricks hard to achieve using stateful models.
React is a JavaScript library for building user interfaces developed by Facebook. It uses a component-based approach to build modular and reusable UI components that manage their own state. Components receive data and callbacks through properties and local state is updated through setState(). The virtual DOM provides efficient re-rendering when state changes by comparing the new representation with the previous one. Everything in React is a component, components receive and manage data through properties and local state, and the declarative nature simplifies complexity.
This document discusses JavaScript promises as an abstraction pattern for handling asynchronous code. It explains why promises are useful by describing some of the issues with callback-based asynchronous code, such as callback hell and lack of readability. The document then provides examples of how to create and use promises to handle sequential and parallel asynchronous tasks in a more maintainable way using chaining and batching. It also discusses how promises are supported in browsers, Node.js, and common promise libraries like Q, RSVP, when.js, and Bluebird.
Zepto.js, a jQuery-compatible mobile JavaScript framework in 2KThomas Fuchs
The document discusses the goals and design of Zepto.js, a JavaScript framework for mobile web applications. It aims to have a very small codebase that is easy to use, extends native browser APIs, and avoids non-essential browser implementations. It provides a jQuery-like API but takes advantage of mobile features for better performance on small screens and devices with limited bandwidth.
Unit testing JavaScript code with Jasmine allows developers to test functionality in isolation through matchers, spies, and asynchronous handling. Key benefits include cheaper QA, better documentation, improved code quality, and easier debugging. While some are deterred by complex asynchronous code or small projects, unit testing pays off through early bug detection and confidence that features work as intended.
Promises provide a consistent way to write asynchronous code in JavaScript by abstracting callbacks into objects. Some key benefits of promises include: handling errors through rejection instead of nested callbacks, ability to chain operations together through promise methods like .then(), and restoring synchronous-like control flow. The document discusses how promises improve on traditional callback-based patterns and provides examples of converting common asynchronous patterns to use promises.
This document introduces Scala ActiveRecord, an ORM library for Scala that aims to provide an ActiveRecord-like experience. It summarizes the motivations for creating Scala ActiveRecord, which were to have a more usable database library that supports type-safety, conventions over configuration, and avoids repetition. It describes key features of Scala ActiveRecord like validations, associations, and callbacks. It also provides examples of basic CRUD operations and queries using Scala ActiveRecord's interface.
The document discusses various aspects of Contexts and Dependency Injection (CDI) in Java EE, including how to use @Inject for dependency injection, qualifiers to select specific implementations, producers to provide dependencies, and events to communicate between components in a loosely coupled way. It also demonstrates CDI concepts like qualifiers, producers, scopes, and alternatives through examples.
Beyond Profilers: Tracing Node.js TransactionsTerral R Jordan
Node.js is fast, but once the code is in production, how can you make sure it's still fast?
In this talk from the Boston node.js meetup on October 9th, I talk about various strategies for monitoring node in production, with an obvious bias towards transaction tracing.
The document discusses how lawyers can maximize their use of social media to build their practice. It outlines traditional marketing tools like advertisements, articles, and networking and compares them to modern tools like websites, blogs, social media platforms and search engine rankings. Specifically, it explores how lawyers can use LinkedIn, Facebook, Twitter, Google+ and Pinterest to connect with other professionals, share content and expertise, and promote their services. The presentation encourages lawyers to select the social media platforms that suit them best and provide meaningful engagement and contributions to develop their reputation, visibility and relationships.
A couple of tricks you might not know about. Held at an internal developer show'n'tell in October 2010 at SilverStripe Ltd. in Wellington, New Zealand. Video available at http://vimeo.com/16446690
Outlines the refactoring effort of the SilverStripe CMS codebase, which was an internal project at SilverStripe Ltd. mid 2009. The main objective was to simplify CMS extensions for intermediate frontend/backend developers. In practice this meant a lot of housekeeping, and the consistent usage of jQuery and jQuery UI over PrototypeJS.
Promise patterns provide an asynchronous programming model for JavaScript using promises. Promises allow separating business logic from asynchronous API providers by defining a standard asynchronous API. Common patterns are callbacks, events, and promises. Promises improve on callbacks and events by allowing parallel asynchronous operations, error handling, and progress tracking in a standardized way.
I gave this talk at Squares Conference 2016.
http://squaresconference.com
Code demo from the talk…
http://t7.github.io/react-starter
https://github.com/t7/react-starter
This presentation is prepared for SVCC 2014 on Javascript Testing with Jasmine. It basically goes through basic Jasmine feature and provide tips for developers when they decide to start testing.
The document discusses JavaScript promises and how they can be used to handle asynchronous operations. Promises allow asynchronous functions to return values asynchronously by attaching callbacks to the promise object. This avoids callback hell and makes asynchronous code easier to read and maintain. The document covers how promises can be chained together, executed in parallel, cached, and passed around between functions. It also discusses promise implementations in different frameworks like jQuery, Angular, and how promises can interact across frameworks.
The document discusses Javascript Promises and the Q library for handling asynchronous code. It explains what Promises are, how they avoid callback pyramids or "Pyramids of Doom", and how the Q library can be used to generate and control Promises. The Q library allows wrapping asynchronous functions in Promises and provides methods for chaining Promises together and handling errors across asynchronous operations.
This document provides an overview of several features in the Project Wonder framework called "ERExtensions". It describes utilities for type-safe page naming, version management of static resources, direct action debugging, application rewriting, redirects, batch navigation, hyperlinking with objects, inline templates, lorem ipsum generation, captchas, RSS feeds, caching of enterprise objects, formatting numbers by unit, mutable URLs, thread storage, and more. Many of these features aim to improve functionality, security, performance, and usability compared to standard WebObjects components.
React.js & Om: A hands-on walkthrough of better ways to build web UIsAdam Solove
This presentation introduces React, a library that makes it easier to reason about and build complex user interfaces for the web. The slides will take you through enough of React's structure and API that you can write a simple app and learn more from the React online documentation.
In part two, the slides describe Om, a ClojureScript wrapper around React that also provides a model-level abstraction for managing the data in your web application using ClojuresScript's immutable data structures. This makes it easy to test, to add undo/redo, and many other tricks hard to achieve using stateful models.
React is a JavaScript library for building user interfaces developed by Facebook. It uses a component-based approach to build modular and reusable UI components that manage their own state. Components receive data and callbacks through properties and local state is updated through setState(). The virtual DOM provides efficient re-rendering when state changes by comparing the new representation with the previous one. Everything in React is a component, components receive and manage data through properties and local state, and the declarative nature simplifies complexity.
This document discusses JavaScript promises as an abstraction pattern for handling asynchronous code. It explains why promises are useful by describing some of the issues with callback-based asynchronous code, such as callback hell and lack of readability. The document then provides examples of how to create and use promises to handle sequential and parallel asynchronous tasks in a more maintainable way using chaining and batching. It also discusses how promises are supported in browsers, Node.js, and common promise libraries like Q, RSVP, when.js, and Bluebird.
Zepto.js, a jQuery-compatible mobile JavaScript framework in 2KThomas Fuchs
The document discusses the goals and design of Zepto.js, a JavaScript framework for mobile web applications. It aims to have a very small codebase that is easy to use, extends native browser APIs, and avoids non-essential browser implementations. It provides a jQuery-like API but takes advantage of mobile features for better performance on small screens and devices with limited bandwidth.
Unit testing JavaScript code with Jasmine allows developers to test functionality in isolation through matchers, spies, and asynchronous handling. Key benefits include cheaper QA, better documentation, improved code quality, and easier debugging. While some are deterred by complex asynchronous code or small projects, unit testing pays off through early bug detection and confidence that features work as intended.
Promises provide a consistent way to write asynchronous code in JavaScript by abstracting callbacks into objects. Some key benefits of promises include: handling errors through rejection instead of nested callbacks, ability to chain operations together through promise methods like .then(), and restoring synchronous-like control flow. The document discusses how promises improve on traditional callback-based patterns and provides examples of converting common asynchronous patterns to use promises.
This document introduces Scala ActiveRecord, an ORM library for Scala that aims to provide an ActiveRecord-like experience. It summarizes the motivations for creating Scala ActiveRecord, which were to have a more usable database library that supports type-safety, conventions over configuration, and avoids repetition. It describes key features of Scala ActiveRecord like validations, associations, and callbacks. It also provides examples of basic CRUD operations and queries using Scala ActiveRecord's interface.
The document discusses various aspects of Contexts and Dependency Injection (CDI) in Java EE, including how to use @Inject for dependency injection, qualifiers to select specific implementations, producers to provide dependencies, and events to communicate between components in a loosely coupled way. It also demonstrates CDI concepts like qualifiers, producers, scopes, and alternatives through examples.
Beyond Profilers: Tracing Node.js TransactionsTerral R Jordan
Node.js is fast, but once the code is in production, how can you make sure it's still fast?
In this talk from the Boston node.js meetup on October 9th, I talk about various strategies for monitoring node in production, with an obvious bias towards transaction tracing.
The document discusses how lawyers can maximize their use of social media to build their practice. It outlines traditional marketing tools like advertisements, articles, and networking and compares them to modern tools like websites, blogs, social media platforms and search engine rankings. Specifically, it explores how lawyers can use LinkedIn, Facebook, Twitter, Google+ and Pinterest to connect with other professionals, share content and expertise, and promote their services. The presentation encourages lawyers to select the social media platforms that suit them best and provide meaningful engagement and contributions to develop their reputation, visibility and relationships.
This document is an alphabet book created by Álvaro Caseiro from the 3rd ESO Group A. It assigns a single word beginning with each letter of the alphabet. Some letters have words assigned like C for canteen, E for earthquake, F for flute, I for instruments, L for lollipop, M for minibus, P for pineapple, and S for sleeping bags. The letter X is assigned to the 1st ESO A class because it is considered an excellent class.
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Sexy.js: A Sequential Ajax (Sajax) library for jQueryDave Furfero
An introduction to Sexy.js: a lightweight JavaScript library which provides enhanced Sequential Ajax (Sajax) functionality and a sleek facade to jQuery’s native Ajax methods.
Adding a modern twist to legacy web applicationsJeff Durta
Avoid misery of working with legacy code
We will see how you can add independent and isolated components to existing pages; pages that may be difficult to change
React and Flux allow you to make self-contained additions that handle their own data access/persistence
Express is a popular web framework for Node.js that is fast, simple, and easy to learn. It allows for routing, middleware, template engines like Jade and Mustache, and handling errors. Common tasks like making HTTP requests and handling cookies/sessions are simplified. The forever module can be used to keep a Node.js app running persistently in production.
Backbone.js is a JavaScript MVC framework that allows developers to build single page applications. It includes models, views, and controllers (routers). Models represent data, views display models, and routers handle navigation between views. Collections are groups of models that can be filtered, sorted, and manipulated. Views can display both individual models and entire collections. Events can be bound to views to handle user interactions. The framework uses a client-side routing system to change views based on the URL hash fragment.
This talk was given at JSSummit 2013. Entitled "Avoiding Callback Hell with Async.js", my talk focused on common pitfalls with asynchronous functions and callbacks in JavaScript, and using the async.js library and its advanced control flows to create cleaner, more manageable code.
Sails.js is a realtime MVC framework for Node.js that is inspired by some of the best ideas behind Ruby on Rails and realtime frameworks like Meteor.js.
In this presentation I'll overview getting started with Sails.js, its architecture and features, as well as some advice on place to look at when you are getting started.
Learn a brand new way to think about web application development with Node.js!
Jasmine is a BDD framework for testing JavaScript code. It does not depend on other frameworks and does not require a DOM. Jasmine uses specs, expectations, suites, and matchers to define tests and make assertions. It also supports features for testing asynchronous code and spying on functions. Jasmine provides tools like spies, stubs, fakes, and mocks to help test code behavior.
Have you ever wondered how Ajax requests fit in with WebObject's Request-Response loop? Have you ever wanted to make a new Ajax component or debug a problem in an existing one? Do you want to use a different JavaScript library with WebObjects? This session will look at what was done to make Ajax work in a component action world, looking at changes to the Request-Response loop and the page cache. You will learn how to use AjaxComponent, AjaxDynamicElement, and the other classes that are used to create WebObjects Ajax components.
This document provides an overview of using the Backbone.js framework for client-side MVC applications. It discusses why Backbone is useful for structuring JavaScript applications, its core architecture including models, collections, views and routers. It also provides examples of how to convert jQuery code to use a Backbone-based approach and lists some real-world applications that use Backbone.
The document discusses code smells and improving testability. It notes that unit tests can be complex when objects are tightly coupled or doing too much. A code example of updating a status is shown to have many dependencies, like page events and network I/O, that make it difficult to test. The document suggests refactoring the code to use a model to separate these concerns and improve testability.
This document summarizes RingoJS, an open source JavaScript platform that runs on the Java Virtual Machine. It can install and run with a few commands, supports CommonJS modules and features like a REPL, debugger, profiling, and running synchronous and asynchronous code. The document provides code examples for a simple "Hello World" app, a JSONP proxy, parallel processing using threads, and links to RingoJS libraries and community resources.
This document discusses the Ajaxian framework Prototype and its utilities for asynchronous JavaScript (Ajax). It provides an overview of Prototype's basic utilities for DOM manipulation and Ajax helpers. The Ajax helpers include an Ajax object that handles cross-browser XMLHttpRequests and an Ajax.Request method for making Ajax calls with configurable options and callbacks. An example is given showing how to make an Ajax request and specify a callback function using Ajax.Request.
JavaScript Fundamentals with Angular and LodashBret Little
The purpose of this presentation is also largely to explain some of the fun parts of JavaScript (dynamic function invocation with reflection, dynamic arguments, etc). I don't necessarily encourage putting complex logic throughout your templates with lodash, though there may be times it is appropriate.
Lets talk about lodash and how it can easily be married to Angular. Using a six line filter, I will expose the power of lodash directly within angular templates. This will be an introduction to lodash, angular templates, and we'll talk about scope and reflection within JavaScript.
Matthew Eernisse gave a presentation on NodeJS at the Toster Conference in 2011. He discussed what NodeJS is, how it uses asynchronous and event-driven JavaScript, and some examples of using NodeJS at Yammer for applications like a file upload service and real-time document editing. He also covered challenges like debugging asynchronous code, developing for NodeJS, and operations considerations like monitoring and logging.
This document contains a summary of jQuery secrets presented by Bastian Feder. It discusses various techniques including saving and removing state from DOM elements using jQuery.data() and jQuery.removeData(), extending jQuery functionality through plugins, and customizing AJAX requests and event handling. The presentation provides code examples for working with jQuery's data storage methods, namespaces, promises/deferreds, global AJAX settings, and extending jQuery.
The RequestDispatcher interface in Java allows servlets to dispatch or forward requests to other resources on the server like HTML files, JSP pages, or other servlets. It provides two main methods - forward() to forward a request and include() to include the response of a resource in the current response. The getRequestDispatcher() method of the ServletRequest interface returns a RequestDispatcher object that can then be used to call the forward() or include() methods, passing the request and response objects. An example is provided of a login servlet that uses RequestDispatcher to forward successfully authenticated requests to a welcome servlet or include an error message on failed authentication.
Avinash Kundaliya: Javascript and WordPresswpnepal
This document discusses JavaScript and how it is used on over 92% of websites. It covers JavaScript fundamentals like variable scope, hoisting, and the this keyword. It also discusses how JavaScript allows first-class functions and functional programming. The document then covers how to properly manage scripts in WordPress using functions like wp_register_script, wp_enqueue_script, and wp_localize_script to internationalize scripts. It concludes by mentioning additional JavaScript topics to explore like closures and functional programming.
This was a talk given at HTML5DevConf SF in 2015.
Ever wanted to write your own Browserify or Babel? Maybe have an idea for something new? This talk will get you started understanding how to use a JavaScript AST to transform and generate new code.
Building Smart Async Functions For MobileGlan Thomas
The document discusses techniques for building smart asynchronous functions for mobile applications. It describes typical asynchronous functions like getJSON and problems with requiring HTTP requests and network connections. It then outlines objectives like minimizing requests and working offline. The document proposes techniques like caching, queuing, merging and filtering requests. It demonstrates using decorators to enhance asynchronous functions without changing their signatures and delegating functionality to utility objects like caches and queues.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
24. Sequential Ajax (Sajax)
An Ajax pattern for handling multiple
asynchronous requests while maintaining
proper callback execution order.
25. Goals of Sequential Ajax (Sajax)
• Facilitate combination and manipulation of data from
multiple sources
• Speed loading of data, scripts, stylesheets using parallel
asynchronous HTTP requests
• Speed execution of callbacks by allowing them to fire as
soon as all previous data is available
• Fun
26. Three Flavors of Sajax
• Serial request / serial response
• Parallel request / random response
• Parallel request / serial response
60. Serial Request / Serial Response
// Request an article
$.getJSON('/article/1.json', function (article) {
// Request the related comments
$.getJSON('/article/1/comments.json', function (comments) {
// Join the data
article.comments = comments;
// Render the article and comments
render(article);
});
});
61. Serial Request /
Serial Response
• Pros
• Relatively readable
• Cons
• Slower
• Nested calls don’t
scale
62. Parallel Request / Random Response
var i = 0, n = 2, article, comments;
$.getJSON('/article/1.json', function (data) {
article = data;
if (++i == n) {
handleComplete();
}
});
$.getJSON('/article/1/comments.json', function (data) {
comments = data;
if (++i == n) {
handleComplete();
}
});
function handleComplete () {
article.comments = comments;
render(article);
}
66. Sexy is a jQuery plugin
A lightweight JavaScript library which provides parallel
request/serial response Sequential Ajax (Sajax) functionality
and a sleek facade to jQuery’s native Ajax methods.
67. Sexy is a standalone library
A lightweight JavaScript library which provides parallel
request/serial response Sequential Ajax (Sajax) functionality
and a sleek facade to jQuery’s native Ajax methods
JavaScript.
68. Sexy is a standalone library
A lightweight JavaScript library which provides parallel
request/serial response Sequential Ajax (Sajax) functionality
and a sleek facade to jQuery’s native Ajax methods
JavaScript (using jQuery’s native Ajax methods).
78. I WASN’T KIDDING!
If you are pregnant, have a serious heart
condition, or giggle uncontrollably at the word
“titillate”, you may want to hurry to Track A.
80. Sexy is Your Syntactic Sugar Mama
An expressive method for each supported data type:
html (url, callback)
json (url, callback)
jsonp (url, callback)
script / js (url, callback)
text (url, callback)
xml (url, callback)
style / css (url, callback)
81. Sexy is Patient
Requests can be deferred using an optional 2nd argument.
html (url, defer, callback)
json (url, defer, callback)
jsonp (url, defer, callback)
script / js (url, defer, callback)
text (url, defer, callback)
xml (url, defer, callback)
style / css (url, defer, callback)
82. Sexy is Flexible
Each method can also take a jQuery settings object.
html (settings)
json (settings)
jsonp (settings)
script / js (settings)
text (settings)
xml (settings)
style / css (settings)
83. callback (data, previous, next, status)
Each callback receives four arguments:
data response data of the current request
previous return value of the previous callback
next Ajax settings of the next request
status result status of the current request
111. var s = Sexy
.js('jquery.min.js')
.js('jquery.template.min.js')
.css('friends.css')
.text('friend.tpl')
.json('friends.json', function (data, tpl) {
// Send a new request for each friend (executed simultaneously)
$.each(data.friends, function (i, friend) {
s.json(friend.username + '.json', function (friend, friends) {
// Push onto the previously returned array
friends.push(friend);
// Until the last friend, return the augmented array to the next callback
if (i < data.friends.length - 1) {
return friends;
// When we reach the last friend, render the data and insert into the DOM
} else {
$.template(tpl, friends).appendTo('#friends');
}
});
});
// Instantiate the friends array
return [];
});
112. Known Issues
• Unable to detect error events for remote requests
• jsonp (remoteUrl)
• script (remoteUrl)
• style (remoteUrl)
• style (remoteUrl) fires the success callback even if the
request was unsuccessful (ie. 404)
113. Parallel Request / Serial Response
• Pros
• Faster
• Cleaner
• Prettier
• Cons
• Sexy.js adds
1.4Kb–4.6Kb to
your JavaScript
library
114. Parallel Request / Serial Response
• Pros
• Faster
• Cleaner
• Prettier
• Cons
• Sexy.js adds
1.4Kb–4.6Kb to
your JavaScript
library
115. Can’t get enough?
website http://sexyjs.com
slideshow http://www.slideshare.net/furf
download http://github.com/furf/Sexy
twitter @sexyjs or @furf
email furf@furf.com
feel free to be geeky as we go along, my code is available on github
Also, if you&#x2019;d like to read some hastily scribed documentation, i have a website at sexyjs.com, but i have to warn you ...
it&#x2019;s been deemed too risque for the workplace...
by this guy... if you think it&#x2019;s NSFW but still want to try it
i&#x2019;ve prepared another website for you
i&#x2019;ve prepared another website for you
it&#x2019;s even compatible with navigator 4.
okay... let me look at my notes for a second
okay... let me look at my notes for a second
OK. Let&#x2019;s begin. Some of you might remember me from jsconf.eu. For those that don&#x2019;t, my name is Dave Furfero. I&#x2019;m a UI Engineer at MLB.com, long-time JavaScripter, long-form improviser, and all-around lovable guy. I&#x2019;m known as furf all around the world and the Internets.
okay let&#x2019;s get started
I&#x2019;ve come to talk to you about your never-ending thirst for asynchronous data, some Sequential Ajax patterns for loading and combining your data, and a little library I wrote called Sexy which makes it so so simple.
I&#x2019;d guess that about 95% of the people in this room are working on the Internet&#x2019;s next killer app. I&#x2019;d also wager that 95% of those people are using Ajax to load data and that 95% of those people are loading data from more than one service. And I would venture that 95% of those people would like that data to interact in a meaningful way.
As we work with a larger number and greater variety of data sources, and we&#x2019;re no longer served by the one request/one callback paradigm, we need to evolve new patterns for dealing with the unpredictability of Ajax. Sequential Ajax helps you mix and mash asynchronous data from various sources, local and remote, with predictable results.
As we work with a larger number and greater variety of data sources, and we&#x2019;re no longer served by the one request/one callback paradigm, we need to evolve new patterns for dealing with the unpredictability of Ajax. Sequential Ajax helps you mix and mash asynchronous data from various sources, local and remote, with predictable results.
And Sexy? Sexy makes it look good. Damn good.
And Sexy? Sexy makes it look good. Damn good.
Sequential Ajax is any of a number of patterns for writing Ajax that allow you to fire multiple requests, receive the data, and hopefully before they are finished allow you to meaningfully manipulate that data
Sajax comes in three flavors. Two of them get the job done. One of them gets the job done Sexily
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s fire off three asynchronous requests, the server or servers do their thing, and send back the data. We have no control over the timing. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
Let&#x2019;s say we fire off three asynchronous requests, the server or servers do their thing, and send back the data. In this scenario, our data returns in the specified order and we execute each callback as soon as its data is available ready. Even if the others have yet to return.
In this scenario, our servers will return the data out of order. Note how Callbacks B & C wait for the return of Callback A before firing.
Let&#x2019;s start by looking at some common anti-patterns and see if they look familiar. If they do, you may want to stick around...
The first anti-pattern is serial request/serial response. Successive Ajax requests are nested inside callbacks and executed upon completion of the preceding request. Previous data is accessible to each callback via closure. WALKTHRU...
The second anti-pattern is parallel request / random response. This pattern is quicker because requests are made simultaneously, but usually requires a counter and a common callback which is fired once all requests are complete.
As I mentioned, this pattern is faster, but the code quickly grows bloated, crufty, and significantly harder to maintain.
Sexy.js uses the 3rd Sajax pattern: parallel request/serial response. Requests made in parallel for speed and then by wrapping and eventing callback functions, Sexy ensures proper callback execution order every time.
Originally written as a jQuery plugin, Sexy is now available as a standalone library using jQuery&#x2019;s Ajax. Yay, open source! Both the plugin and standalone pass jQuery as an adapter so I encourage anyone interested in porting Sexy to other libs to do so. I&#x2019;d be happy to help.
Originally written as a jQuery plugin, Sexy is now available as a standalone library using jQuery&#x2019;s Ajax. Yay, open source! Both the plugin and standalone pass jQuery as an adapter so I encourage anyone interested in porting Sexy to other libs to do so. I&#x2019;d be happy to help.
Sexy is a class. New Sexy chains can be constructed by calling new Sexy. And then requests can be made using the returned instance.
Sexy is a class. New Sexy chains can be constructed by calling new Sexy. And then requests can be made using the returned instance.
But I didn&#x2019;t think that was Sexy enough. So I did away with the new keyword.
But I didn&#x2019;t think that was Sexy enough. So I did away with the new keyword.
Let&#x2019;s look inside the Sexy constructor. Sexy checks the instanceof this, which if used with the new keyword would be Sexy. If it&#x2019;s not Sexy, then it was called without the new keyword, so we call it with the new keyword and return the new instance.
Still not sexy enough! A Sexy object can also be instantiated just by calling any one of Sexy&#x2019;s instance methods as a static method of Sexy. (I just thought the extra parentheses were ugly.)
Still not sexy enough! A Sexy object can also be instantiated by calling any one of Sexy&#x2019;s instance methods as a static method of Sexy. (I just thought the extra parentheses were ugly.)
Looking back inside the code, you can see that we just loop the prototypal methods and add static methods that apply the desired method in the scope of a new Sexy instance. Since the API is 100% chainable, returning the method&#x2019;s return value, returns the instance. To which we can chain more calls.
okay, let&#x2019;s take a look at Sexy&#x2019;s api. sexy was designed to be expressive and chainable so that the code looks like what the code does.
okay, let&#x2019;s take a look at Sexy&#x2019;s api. sexy was designed to be expressive and chainable so that the code looks like what the code does.
okay, let&#x2019;s take a look at Sexy&#x2019;s api. sexy was designed to be expressive and chainable so that the code looks like what the code does.
A method for each supported data type. These types reflect the Sexy&#x2019;s jQuery roots with the exception of style, which adds stylesheet support and was added for &#x201C;completeness&#x201D;. Helpful when bootstrapping an app w Sexy. Script and Style have aliases, js and css. This is the shorthand form, and takes a URL and a callback as arguments.
An optional 2nd argument will let you defer the request until the previous request has completed. You will see in a few slides how this allows us to handle server authentication and modify successive requests.
In its verbose form, each method can also take a jQuery-like configuration object, for when you want to POST data or add an error callbacks, etc. Defer is also a configurable property of the configuration object
look up dummy :)
Here we can see two calls being chained. The requests are made simultaneously and the callbacks executed in the specified order. This is an example of the verbose syntax using configuration objects. Note the second argument of the second callback.
This is how Sexy shares data. The return value of a success callback is cached when it is fired and then appended to the arguments of the following success callback when it is ready.
But big configuration objects aren&#x2019;t always sexy. So here&#x2019;s the brief syntax which takes url and callback.
Once again note the sharing of article between callbacks. But notice how we&#x2019;re just returning article. THis seems like something we&#x2019;ll do quite frequently, so...
Sexy provides implicit callbacks. If you do not specify a callback, a pass thru function will be used to pass your results immediately to the next callback.
Note article just automagically appears as an argument to our second callback.
Since scripts and styles don&#x2019;t usually bring back data we want to interpret, if there is no callback, we pass thru the return value of the previous callback.
You can stack as many as you want in there and the article will still get through. (of course that decreases the readability and should be avoided)
Using defer we can force subsequent calls to behave in a serial request/serial response pattern, but we still benefit from the enhanced data availablility. Once logged in, we get the article, we can then manipulate it and pass it to the next request as its data property for posting before logging out.
Sexy (like jQuery) loads local scripts as text and inserts them into the DOM, so managing script dependencies is as easy as writing a grocery list, a Secy grocery list.
now its time for a Sexy Sajax makeover...
Remember our parallel request / random response anti-pattern? Let&#x2019;s add a little sexy...
and voila! all rise for your royal hotness.
Here you can see that we want to display a loading indicator while the article loads, but its not so important while the comments load, so by passing any falsy value you can unset the previous config
you can save yourself some keystrokes by passing your initial setup to the constructor
Sexy also provides a sort of client-side Javascript packaging tool called Sexy.bundle...
Bundle makes multiple requests and a single DOM insertion and then executes an optional callback. Because of the way sexy is designed, the script sequence and therefore your dependencies are preserved.
Bundle makes multiple requests and a single DOM insertion and then executes an optional callback. Because of the way sexy is designed, the script sequence and therefore your dependencies are preserved.
Bundle makes multiple requests and a single DOM insertion and then executes an optional callback. Because of the way sexy is designed, the script sequence and therefore your dependencies are preserved.
Bundle makes multiple requests and a single DOM insertion and then executes an optional callback. Because of the way sexy is designed, the script sequence and therefore your dependencies are preserved.
Bundle makes multiple requests and a single DOM insertion and then executes an optional callback. Because of the way sexy is designed, the script sequence and therefore your dependencies are preserved.
Bundle makes multiple requests and a single DOM insertion and then executes an optional callback. Because of the way sexy is designed, the script sequence and therefore your dependencies are preserved.
Bundle makes multiple requests and a single DOM insertion and then executes an optional callback. Because of the way sexy is designed, the script sequence and therefore your dependencies are preserved.