๐๐ซ๐๐ฉ๐๐ซ๐ข๐ง๐ ๐๐จ๐ซ ๐๐๐ ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ๐ฌ ๐๐ง๐ ๐๐จ๐งโ๐ญ ๐ค๐ง๐จ๐ฐ ๐ฐ๐ก๐๐ซ๐ ๐ญ๐จ ๐ฌ๐ญ๐๐ซ๐ญ?
๐๐๐ซ๐ ๐ข๐ฌ ๐ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐ ๐๐จ๐๐๐ฆ๐๐ฉ ๐๐จ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐๐ ๐ ๐ซ๐จ๐ฆ ๐๐๐ซ๐๐ญ๐๐ก:
If in doubt, check this interview preparation and mentorship platform for personalized guidance visit.preplaced.in
Open ๐งต
๐๐๐ซ๐ ๐ข๐ฌ ๐ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐ ๐๐จ๐๐๐ฆ๐๐ฉ ๐๐จ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐๐ ๐ ๐ซ๐จ๐ฆ ๐๐๐ซ๐๐ญ๐๐ก:
If in doubt, check this interview preparation and mentorship platform for personalized guidance visit.preplaced.in
Open ๐งต
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.
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.
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.
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.
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.
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.
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.
โ
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.
โ 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.
Regularly solving problems is essential to solidify your understanding and enhance your problem-solving abilities.
โ 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.
โ
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.
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 ๐
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Do Follow @AdarshChetan for more such amazing stuff โค๏ธ
#DSA #SDE #SoftwareEngineer
If you liked this thread :
๐ Retweet the first tweet
Do Follow @AdarshChetan for more such amazing stuff โค๏ธ
#DSA #SDE #SoftwareEngineer
๐๐จ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐๐ฅ๐๐ ๐ซ๐๐ฆ ๐ ๐ซ๐จ๐ฎ๐ฉ ๐๐จ๐ซ ๐ฉ๐ซ๐๐ฆ๐ข๐ฎ๐ฆ ๐๐จ๐๐ฌ/Notes:t.me
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