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DSA (Data Structures & Algorithms)
DSA (Data Structures & Algorithms) Learning Guide
DSA (Data Structures & Algorithms) Learning Guide
🔹 Step 1: Learn the Basics
➡ Time & Space Complexity
➡ Arrays & Strings (Basic operations)
➡ Sorting Algorithms (Bubble, Selection, Insertion)
Practice: Easy problems on LeetCode, CodeChef
🔹 Step 2: Master Core Data Structures
➡ Searching Algorithms (Linear Search, Binary Search)
➡ Stacks & Queues (Implementation & Applications)
➡ Linked Lists (Singly, Doubly, Circular)
➡ Practice: Solve medium-level problems
🔹Step 3: Learn Trees & Graphs
➡ Binary Trees & BST (Traversals, Operations)
➡ Graphs (DFS, BFS, Shortest Path Algorithms)
➡Practice: Implement Trees & Graphs problems
🔹 Step 4: Advanced DSA
➡ Hashing & HashMaps
➡ Recursion & Backtracking (N-Queens, Subsets)
➡ Dynamic Programming (DP) (Fibonacci, Knapsack)
➡ Practice: Competitive programming on CodeForces, AtCoder
(Basics → Core DSA → Advanced Concepts)
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