Painless Web App Development with Backbone
You know how you always mean to apply proper MVC principles but end up with a mess of jQuery instead? No more excuses: now there's Backbone.
Have you ever tried to write a moderately complex browser side application with the assumption that jQuery is probably all you need for the job? I mean, fire off some AJAX requests, then just use some DOM manipulation to put the results where you want them—how hard can it be, right?
Would you have enjoyed maintaining the code that resulted from that assumption? No, neither would I.
Would you like to see a better solution?
As it turns out, programmers have known how to keep their frontend code under control for a while using a surprisingly simple principle called MVC. Now that the browser has suddenly become a serious platform for application development, the need for MVC (or, at least, the basic concepts behind MVC) has become so apparent that we already have multiple rival MVC libraries for the browser platform. Backbone is arguably the most popular of the lot, and certainly one of the most lightweight.
In this presentation, you'll learn how to harness the power of Backbone by example, as we build a simple browser side application from the bottom up using nothing but Backbone and your favourite DOM toolkit.
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Bodil works as a computer science researcher for a secretive think tank, and is a world renowned expert in varied fields such as pizza and persistent data structures. Contrary to popular rumour, she only has five fingers on each hand, but is still able to use Emacs.
Other talks from Bodil
2019 - Meetings With Remarkable TreesEN
Everybody knows the classic cons list. Clojeurs brag about their bitmapped vector tries. Haskell weenies took it up a notch with their impossible finger trees. Rustaceans turned back the clock and gave us simple arrays again.
All of these have shortcomings. Hickey tries are magically indexable but the only other thing you can do to them is add things to the end. Finger trees are absurdly flexible but you can't index them efficiently. And so the search goes on...
And today, you're going to learn about the ultimate list data structure: the RRB tree ("relaxed radix balanced tree") is an improved version of the tried and tested Hickey trie, which has achieved the impossible: /every/ basic operation is efficient - push and pop on either end, index lookup, split and join. RRB trees pull no punches.
Watch as Bodil shows you diagrams with brightly coloured boxes in an enthusiastic effort to explain why data structures are amazingly exciting.