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contents/algorithms/introduction.md
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@ -10,7 +10,7 @@ import InDocAd from '../\_components/InDocAd';
This section dives deep into practical knowledge and techniques for algorithms and data structures which appear frequently in algorithm interviews. The more techniques you have in your arsenal, the higher the chances of passing the interview. They may lead you to discover corner cases you might have missed out or even lead you towards the optimal approach!
For each topic, a brief introduction is given, along with language-specific libraries to use, time complexities cheatsheet, corner cases, things to look out for during interviews, useful techniques, and recommended resources to help you master the topic. Lastly, there is a list of recommended common questions to practice which in my opinion is highly valuable for mastering the core concepts for the topic.
For each topic, a brief introduction is given, along with language-specific libraries to use, time complexities cheatsheet, things to look out for during interviews, corner cases, useful techniques, and recommended resources to help you master the topic. Lastly, there is a list of recommended common questions to practice which in my opinion is highly valuable for mastering the core concepts for the topic.
If you are interested in how data structures are implemented, check out [Lago](https://github.com/yangshun/lago), a Data Structures and Algorithms library for JavaScript.