Data Structures and Algorithms (DSA)

Data Structures and Algorithms (DSA)

Learn and master the foundation of problem-solving. Explore arrays, linked lists, stacks, queues, trees, heaps, and graphs with practical examples. Understand algorithm design, complexity analysis, recursion, dynamic programming, and real-world coding patterns to write efficient, scalable, and maintainable applications.

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Data Structures and Algorithms (DSA)
0/1 Knapsack Problem in Dynamic Programming (DSA)
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Binary Tree Traversal in DSA (Inorder, Preorder, Postorder)
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Valid Anagram Problem in DSA (String + Hashing)
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Longest Palindromic Substring – DSA Interview Question
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Group Anagrams Problem in DSA (Simple Explanation with Code)
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Product of Array Except Self – DSA Problem Explained
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Search in Rotated Sorted Array Using Binary Search
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Sliding Window Technique in DSA (Longest Substring Without Repeating Characters)
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Archive Partition Sliding Window Strategy
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Basic DSA Programs: Fibonacci, Factorial, Prime, Reverse & Palindrome
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performance and scalability issues
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Sort an array using Selection Sort in DSA
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