algorithm/tech-interview-handbook
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algorithms/README.md
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@ -5,6 +5,8 @@ This section dives deep into practical tips for specific topics of algorithms an
For each topic, study links are recommended to help you master the topic. 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), an Data Structures and Algorithms library for JavaScript. It is pretty much still WIP but I intend to make it into a library that is able to be used in production and also a reference resource for learning Data Structures and Algorithms.
## Contents
- [Array](array.md)

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preparing/README.md
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@ -21,6 +21,8 @@ This [interviews repository](https://github.com/kdn251/interviews) by Kevin Naug
The Medium publication [basecs](https://medium.com/basecs) by [Vaidehi Joshi](https://medium.com/@vaidehijoshi) is also a great and light-hearted resource to recap on the various data structures and algorithms.
If you are interested in how data structures are implemented, check out [Lago](https://github.com/yangshun/lago), an Data Structures and Algorithms library for JavaScript. It is pretty much still WIP but I intend to make it into a library that is able to be used in production and also a reference resource for learning Data Structures and Algorithms.
### Mastery through Practice
Next, gain familiarity and mastery of the algorithms and data structures in your chosen programming language: