DSA Blog & Articles
Insights, tutorials, and tips to help you master Data Structures and Algorithms
How I Solved 500 LeetCode Problems and What I Learned
A comprehensive reflection on my journey through 500 coding problems, the patterns I discovered, and how it transformed my problem-solving abilities and career prospects.
Mastering Dynamic Programming: A Step-by-Step Guide
Dynamic Programming (DP) is a powerful technique that can solve complex problems by breaking them down into simpler subproblems. This comprehensive guide walks you through the fundamentals of DP with practical examples.
Graph Algorithms Every Developer Should Know
Graphs are versatile data structures that model relationships between objects. This article covers essential graph algorithms including BFS, DFS, Dijkstra's, and more with real-world applications.
Cracking the Google Interview: My Personal Journey
A first-hand account of preparing for and succeeding in Google's technical interviews. Learn about the strategies, resources, and mindset that helped me land my dream job.
Time Complexity Analysis Made Simple
Understanding time complexity is crucial for writing efficient code. This beginner-friendly guide breaks down Big O notation and teaches you how to analyze your algorithms effectively.
Binary Trees vs. Binary Search Trees: Understanding the Difference
Many developers confuse binary trees with binary search trees. This article clarifies the distinctions, use cases, and implementation details of these important data structures.
Solving Sliding Window Problems: Patterns and Techniques
The sliding window technique is a powerful approach for solving array and string problems efficiently. Learn the pattern with step-by-step examples and practice problems.
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