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DSA
Data Structures & Algorithms
Master the fundamental concepts of data structures and algorithms to excel in technical interviews and build efficient applications.
Why Study DSA?
Data Structures and Algorithms form the foundation of computer science and software development. They are essential for:
- Solving complex programming problems efficiently
- Optimizing application performance
- Passing technical interviews at top tech companies
- Understanding how computer systems work at a fundamental level
- Developing scalable and efficient software solutions
Key Topics
Two Pointers Technique
Easy
Sliding Window
Medium
Prefix Sum
Medium
Kadane's Algorithm
Medium
Dutch National Flag Algorithm
Medium
Learning Path
Follow this structured learning path to master Data Structures and Algorithms:
- Fundamentals: Start with basic data structures like arrays, strings, and linked lists
- Intermediate: Move on to trees, graphs, and basic searching/sorting algorithms
- Advanced: Learn dynamic programming, greedy algorithms, and advanced graph algorithms
- Practice: Solve problems on platforms like LeetCode, HackerRank, and CodeForces
- Mock Interviews: Practice with mock interviews to simulate real interview conditions