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@@ -6,16 +6,14 @@ The summary of **Data Structures and Algorithms** plus **Interview steps** from
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I’ve included the code for each concept in Python in the code folder. I would
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suggest to implement short codes for your projects or coding interviews.
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I highly recommend the following materials by the order of importance:
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1. [Udacity nano degree: Data Structures and
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Algorithms](https://www.udacity.com/course/data-structures-and-algorithms-nanodegree--nd256)
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2. Youtube playlist
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3. Data Structure in C book
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4. CLRS book [If you are an academic].
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These notes are currently used to refresh your knowledge and showcase the important part of each domain.
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I highly recommend the following materials by the ordered by importance:
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- [Udacity nano degree: Data Structures and
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Algorithms](https://www.udacity.com/course/data-structures-and-algorithms-nanodegree--nd256)3
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- [Data Structures And Algorithmic Thinking With Python](https://www.amazon.com/Data-Structure-Algorithmic-Thinking-Python/dp/8192107590)
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- [Youtube playlist](https://www.youtube.com/watch?v=0IAPZzGSbME&list=PLDN4rrl48XKpZkf03iYFl-O29szjTrs_O) [If you are a begineer]
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- [CLRS book](https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press/dp/0262033844) [If you are an academic].
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TLDR Objectives: Understanding of various types of techniques for algorithms
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design and (run time) analysis in detail. Also, a gentle introduction to several

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