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You can see which collection type or sorting algorithm to use at a glance to write the most efficient code. This is also useful for those studying Computer Science in University or for technical interview tests where Big-O notation questions can be fairly common depending on the type of company you are apply to.\n\n## View The Cheat Sheet\n\n#### [HTML](https://rawgit.com/rehansaeed/.NET-Big-O-Algorithm-Complexity-Cheat-Sheet/main/Cheat%20Sheet.html)\n#### [PDF](https://github.com/RehanSaeed/.NET-Big-O-Algorithm-Complexity-Cheat-Sheet/blob/main/Cheat%20Sheet.pdf)\n#### [PNG](https://github.com/RehanSaeed/.NET-Big-O-Algorithm-Complexity-Cheat-Sheet/blob/main/Cheat%20Sheet.png)\n\n![.NET Big-O Algorithm Complexity Cheat Sheet](Cheat%20Sheet.png)\n\n## Credits\n\nAll credit goes to the creator of the Big-O Algorithm Complexity Cheat Sheet [Eric Rowell](https://twitter.com/ericdrowell) and the many contributors to it. You can find the original [here](http://bigocheatsheet.com/). I simply added .NET specific bits to it.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frehansaeed%2F.net-big-o-algorithm-complexity-cheat-sheet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frehansaeed%2F.net-big-o-algorithm-complexity-cheat-sheet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frehansaeed%2F.net-big-o-algorithm-complexity-cheat-sheet/lists"}