Editing Algorithms for the Love of It

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Because we love Computer Science!
 
Because we love Computer Science!
  
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= Highly Suggested Learning Preparation =
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* Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]
 
 
* If you come from a developers' bootcamp / didn't-study-Computer-Science-in-school background....., a big mistake many people like yourselves make is diving into a college-level Algorithms class first. I think it's much wiser to obtain a 500-900 page basic Data Structures Computer Science book, watch an online course on Coursera, and then augment that with the more comprehensive Algorithms course available on MIT.
 
* Memorization is '''very''' important - do not believe otherwise!
 
* It is extremely easy to forget this stuff unless you find a way to involve it in your everyday life (context) - '''always always''' try to find some kind of relationship between these concepts and your every day code, no matter how obscure!
 
 
 
Formerly [https://noisebridge.net/wiki/(affiliated_with)_Women_Who_Code_Algorithms_Study_Group algorithms study group affiliated with women who code]
 
 
 
= Misc =
 
 
 
* [http://www.businessinsider.com/lockharts-lament-math-education-is-wrong-2014-10 Everything about the way we teach math is wrong]
 
* [https://www.maa.org/external_archive/devlin/LockhartsLament.pdf A mathematician's lament]
 

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