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Understanding Design Patterns in JavaScript

Understanding Design Patterns in JavaScript
Today, we're going to put on our computer science hats as we learn about some common design patterns. Design patterns offer developers ways to solve technical problems in a reusable and elegant way. Interested in becoming a better JavaScript developer? Then read on. Republished Tutorial Every few weeks, we revisit some of our reader's favorite posts from throughout the history of the site. Solid design patterns are the basic building block for maintainable software applications. A design pattern is a reusable software solution Simply put, a design pattern is a reusable software solution to a specific type of problem that occurs frequently when developing software. patterns are proven solutions to software development problems patterns are scalable as they usually are structured and have rules that you should follow patterns are reusable for similar problems We'll get into some examples of design patterns further in to the tutorial. Take a look at the three examples above.

Key Principles of Maintainable JavaScript JavaScript is a curious language. It's easy to write, but difficult to master. By the end of this article, hopefully, you'll transform your spaghetti code into a five-course meal, full of readable, maintainable yumminess! Why is it So Tough? The thing to remember, above all else when writing JS code, is that it's a dynamic language. The "hardness" of JavaScript is clearly evident when considering the following image: The teeny tiny book on the left is Douglas Crockford's MUST READ book, JavaScript: The Good Parts. While both of these books are excellent reads, The Good Parts illustrates that, although JavaScript has a LOT of stuff in it, the good parts can be summed up in a considerably shorter read. This, naturally, led to a lot of sleepless nights for web developers. You can read an article on the history of JavaScript here, but the gist of it is that Brandon Eich, in 1995, was hired by Netscape to design a language. It's time to fix that! Making it Better Namespaces Observer Pattern

Basic Branching and Merging Let’s go through a simple example of branching and merging with a workflow that you might use in the real world. You’ll follow these steps: Do work on a web site.Create a branch for a new story you’re working on.Do some work in that branch. At this stage, you’ll receive a call that another issue is critical and you need a hotfix. You’ll do the following: Switch to your production branch.Create a branch to add the hotfix.After it’s tested, merge the hotfix branch, and push to production.Switch back to your original story and continue working. Basic Branching First, let’s say you’re working on your project and have a couple of commits already. You’ve decided that you’re going to work on issue #53 in whatever issue-tracking system your company uses. $ git checkout -b iss53 Switched to a new branch "iss53" This is shorthand for: $ git branch iss53 $ git checkout iss53 You work on your web site and do some commits. $ vim index.html $ git commit -a -m 'added a new footer [issue 53]' Basic Merging Note

JS: The Right Way MonoDevelop - MonoDevelop Overview Background In Square’s new engineer onboarding program, which we call NEO, we offer short courses and lectures on a variety of tools that we use at Square. We started to collect notes from our course on D3.js and found the notes were well-suited for a tutorial — and worth sharing. Introduction The tutorial provides a quick intro to D3.js, a Javascript library for creating data visualizations in the browser. D3 is built on top of common web standards like HTML, CSS, and SVG. D3 makes web-based visualizations easier by “automating the hard bits you already understand,” as opposed to “hiding the hard bits” (hat tip @andy_matuschak). Again, the tutorial is not a deep dive — we want you to learn how to learn D3 and gain a high-level understanding of this useful tool. Let’s get started!

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