Data Structure and Algorithm

Data structure and algorithm play an important and major role in engineering because everything depends on DSA. DSA allows us to structure, store, and process data in valuable ways.

Data structures (DS) and algorithms (A) are two different topics. DS refers to a specialized format for organizing, processing, retrieving, and storing data. In DS, we primarily learn about eight to nine sub-topics, including Array, Pointer, Structure, Linked List, Stack, Queue, Graph, Searching, Sorting, and Programs.

On the other hand, A refers to an algorithm, which is a set of instructions for solving a problem or accomplishing a task. We can learn various types of algorithms, such as brute force-based algorithms, greedy algorithms, recursive algorithms, backtracking algorithms, divide and conquer algorithms, dynamic programming algorithms, and randomized algorithms. Additionally, there are other algorithms such as sorting algorithms, searching algorithms, and hashing.

We can consciously or subconsciously implement or use DSA in our day-to-day life. For example, we can store books one above another.

In my opinion, the best languages for DSA are Java, C++,  Python, etc. Here are some of the best free resources (playlists) for DSA available on YouTube:

Link1: [Data Structures and Algorithms by Love Babber] (https://youtu.be/WQoB2z67hvY)
Link2: [DSA Playlist by CodeWithHarry] (https://youtu.be/5_5oE5lgrhw)
Link3: [Data Structures and Algorithms by Apna College] (https://youtu.be/z9bZufPHFLU)
Link4: [DSA Playlist by Kunal Kushwaha] (https://youtu.be/rZ41y93P2Qo)
Link5: [Data Structures and Algorithms by Jenny's Lectures] https://youtu.be/AT14lCXuMKI

If you prefer paid courses, here are some recommended websites for DSA:

Link1: [logicmojo.com](https://www.logicmojo.com)
Link2: [GeeksforGeeks](https://www.geeksforgeeks.org)
Link3: [Scaler](https://www.scaler.com)
Link4: [Udemy](https://www.udemy.com)
Link5: [Coursera](https://www.coursera.org)

By utilizing these resources, you can enhance your knowledge and skills in data structures and algorithms, thereby strengthening your understanding of the subject and its applications in engineering.

This article is contributed by Akash Tayade