Now which way of doing each of these things is the best for performance?
This was my question all the way through this article. Yes it can do it but which is more performant. That would have been a better comparison or key selling point for me.
You can use big-o-notation to determine the performance of reduce at scale just like with any other traditional looping function.
It's linear time O(n) if you just run through each element in the array one time which is the default behavior of reduce.
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Now which way of doing each of these things is the best for performance?
This was my question all the way through this article. Yes it can do it but which is more performant. That would have been a better comparison or key selling point for me.
You can use big-o-notation to determine the performance of reduce at scale just like with any other traditional looping function.
It's linear time O(n) if you just run through each element in the array one time which is the default behavior of reduce.