Adarsh Chetan
Adarsh Chetan

@AdarshChetan

11 Tweets 1 reads Oct 06, 2023
๐๐ซ๐ž๐ฉ๐š๐ซ๐ข๐ง๐  ๐Ÿ๐จ๐ซ ๐ƒ๐’๐€ ๐ข๐ง๐ญ๐ž๐ซ๐ฏ๐ข๐ž๐ฐ๐ฌ ๐š๐ง๐ ๐๐จ๐งโ€™๐ญ ๐ค๐ง๐จ๐ฐ ๐ฐ๐ก๐ž๐ซ๐ž ๐ญ๐จ ๐ฌ๐ญ๐š๐ซ๐ญ?
๐‡๐ž๐ซ๐ž ๐ข๐ฌ ๐š ๐‚๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐‘๐จ๐š๐๐ฆ๐š๐ฉ ๐“๐จ ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  ๐ƒ๐’๐€ ๐…๐ซ๐จ๐ฆ ๐’๐œ๐ซ๐š๐ญ๐œ๐ก:
If in doubt, check this interview preparation and mentorship platform for personalized guidance visit.preplaced.in
Open ๐Ÿงต
1. Introduction to DSA: Start with understanding the basics of data structures.
2. Arrays and Strings: Learn about array manipulation, searching, sorting, and string manipulation techniques.
3. Linked Lists: Understand singly linked lists, doubly linked lists, and circular linked lists. Learn about insertion, deletion, and traversal operations.
4. Stacks and Queues: Explore the concepts of stacks and queues, along with their applications in solving real-world problems.
5. Hashing: Learn about hash functions, hash tables, and collision resolution techniques.
6. Trees: Study binary trees, binary search trees, AVL trees, and basic tree traversal algorithms like inorder, preorder, and postorder.
7. Graphs: Understand graph representations, traversal algorithms (DFS, BFS), and basic graph algorithms (Dijkstra's, Kruskal's).
8. Sorting Algorithms: Familiarize yourself with various sorting algorithms like bubble sort, insertion sort, merge sort, and quicksort.
9. Searching Algorithms: Learn about linear search, binary search, and other searching techniques.
10. Dynamic Programming: Explore dynamic programming concepts and techniques for solving optimization problems.
11. Recursion: Understand recursion, recursive algorithms, and their applications.
12. Divide and Conquer: Learn about the divide and conquer paradigm and its applications in solving problems.
13. Greedy Algorithms: Study greedy algorithms and their application in solving optimization problems.
14. Backtracking: Explore backtracking techniques to solve problems like the N-Queens problem and the subset sum problem.
15. Advanced Data Structures: Learn about advanced data structures like heaps, tries, and segment trees.
16. Algorithm Analysis: Understand how to analyze the time and space complexity of algorithms.
โœ… Mastering DSA is not an overnight endeavour. The key lies in maintaining a consistent practice.
Regularly solving problems is essential to solidify your understanding and enhance your problem-solving abilities.
โœ… Importance of Mentorship: A mentor (like me!) can provide guidance, answer your questions, and help you navigate the complexities of DSA.
They've been there, done that, and can offer valuable insights for you to not stumble upon the rocks they once did.
โœ… Check out @preplaced_in for excellent DSA mentoring.
They connect you with knowledgeable mentors, who can hasten your learning process and help you crack your next interview.
That's a wrap-up for this one ๐ŸŽ
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Do Follow @AdarshChetan for more such amazing stuff โค๏ธ
#DSA #SDE #SoftwareEngineer
๐‰๐จ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ž๐ฅ๐ž๐ ๐ซ๐š๐ฆ ๐ ๐ซ๐จ๐ฎ๐ฉ ๐Ÿ๐จ๐ซ ๐ฉ๐ซ๐ž๐ฆ๐ข๐ฎ๐ฆ ๐‰๐จ๐›๐ฌ/Notes:t.me

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