Talk in English - US at Midwest PHP 2018
Short URL: https://joind.in/talk/bd3ba (QR-Code (opens in new window))
Complexity theory. Big-O. Constant, linear, logarithmic, and quadratic time versus space trade-offs. What does it actually mean when we say a function or an algorithm is efficient? How can we tell if we can do better? Join me, on this tour through a corner of computer science few developers actively think about, and you’ll walk away with a new way of looking at code and thinking about problems.
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I enjoyed it, but didn't get as much out of it as I hoped. Good information tho and I took some useful bits away.
Lots of good information. Helped re-spark my own interest in a personal project.
A great introduction into big-O notation and how to calculate and improve.
Good talk. I think I did walk away with a new way at looking at problems and code.
I thought this was a great overview of concepts I haven't thought about since school. Also learned a couple of 'tricks' that I can use to increase efficiency. Nice presentation.