Discussion on "To Dict Or Not To Dict: Comparing Data Structure Sizes"

Matthijs Cox · 2024-05-30T07:47:04.586Z

Searching for the best data structure for your problem can be a tricky business. The chosen data structure should be easy to understand for other developers, run fast in the algorithms where it's used and be memory efficient. You can't always optimiz...

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Great walkthrough on custom data structures. I have a different take on criteria.

Efficiency should always be subservient to effectiveness. Effectiveness is doing the right thing, and in the context of coding an analytic solution that means optimization for the least efficient component, which is always wetware.

Brian Kernighan nails the two key points

If optimization has become a concern, suspect a poor choice of algorithm. (See also Donald Knuth’s cautions against premature optimization.)
Everyone knows that it is twice as hard to debug as it is to code, so if you code as cleverly as you are capable, you will never be able to debug your code.

Would you say there's a difference in the effectiveness of the structures I compare? They all seem rather easy to use and understand to me.

Matthijs Cox Sorry. I learned a lot from your code and my comments are directly to the general question of the tradeoffs that can arise from trying to program to throughput goals. No criticisms at all of your approach.

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To Dict Or Not To Dict: Comparing Data Structure Sizes

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To Dict Or Not To Dict: Comparing Data Structure Sizes

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