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https://patch-diff.githubusercontent.com/AlgorithmsMeetup/TimeComplexity#time-complexity
https://patch-diff.githubusercontent.com/AlgorithmsMeetup/TimeComplexity#efficiency-vs-performance-or-what-are-we-talking-about-exactly
Hardware and software environments affect how fast a program runshttps://www.youtube.com/watch?v=iOq5kSKqeR4
Efficiency or time complexity allows us to compare algorithms in an environment-agnostic manner and is measured in terms of operational steps taken and space requiredhttps://www.youtube.com/watch?v=8syQKTdgdzc
https://patch-diff.githubusercontent.com/AlgorithmsMeetup/TimeComplexity#what-problem-does-this-solve
"A faster algorithm running on a slower computer will always win for sufficiently large instances. [...] Usually, problems don’t have to get that large before the faster algorithm wins"https://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture1.pdf
"In order to make most effective use of our computational resources, it's important that we have the skill set to analyze the complexity of algorithms, so we know what resources those algorithms require. Being able to analyze an algorithm allows us to have an idea of how well it scales as we throw larger and larger data sets at it."https://www.youtube.com/watch?v=IM9sHGlYV5A
https://patch-diff.githubusercontent.com/AlgorithmsMeetup/TimeComplexity#it-was-the-best-of-times-it-was-the-worst-of-times-asymptotic-notation
Time complexity is described using asymptotic notationhttps://www.khanacademy.org/computing/computer-science/algorithms#asymptotic-notation
and is primarily discussed in terms of Big O notationhttp://www.geeksforgeeks.org/analysis-of-algorithms-set-3asymptotic-notations/
https://learnxinyminutes.com/docs/asymptotic-notation/https://learnxinyminutes.com/docs/asymptotic-notation/
https://patch-diff.githubusercontent.com/AlgorithmsMeetup/TimeComplexity#loop-de-loop-big-o-runtimes
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this helpful stack overflow posthttps://stackoverflow.com/questions/487258/what-is-a-plain-english-explanation-of-big-o-notation
https://patch-diff.githubusercontent.com/AlgorithmsMeetup/TimeComplexity#rules-to-live-by
Big O Notationhttps://youtu.be/v4cd1O4zkGw?t=273
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