Everyone once had the experience of not having the right tool for a job. You can get the job done, but it will cost you more effort, maybe some limitations and even some unwanted damage. But what if a person had all the right tools, knew how to use most of them, but still he proactively decided stop thinking about them because he got that generic one that is “ok” for most of the tasks? What could be the consequences?
A good wrench can be enough to hit a nail on the wall, but it will never be as efficient as the simplest hammer.
In this post I will cover some well-known basic data structures, discuss the importance of knowing how each one works and propose a systematic, time complexity-oriented approach for choosing a proper data structure in a given scenario. I will be using .NET collections as example. Warning…
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