ashishps1/awesome-leetcode-resources

Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

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Summary Information

Updated 22 minutes ago
Added to GitGenius on September 3rd, 2026
Created on October 25th, 2023
Open Issues & Pull Requests: 22 (+0)
GitHub issues: Enabled
Number of forks: 3,736
Total Stargazers: 17,799 (+0)
Total Subscribers: 168 (+0)

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Mean response time: 151.2 days
90th percentile: 306.4 days
Tracked items: 5

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Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 372 days
Stale 30+ days: 4
Stale 90+ days: 4

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Detailed Description

Awesome LeetCode Resources is a curated collection of learning materials and guides for mastering data structures, algorithms, and coding interview preparation.

The repository addresses the challenge of navigating the vast landscape of DSA learning by organizing resources into structured sections covering fundamental concepts and problem-solving patterns. It provides links to educational content spanning core topics like arrays, linked lists, trees, graphs, and dynamic programming, alongside pattern-based approaches such as two pointers, sliding windows, and monotonic stacks. The material emphasizes learning DSA patterns as a strategy for solving interview problems efficiently rather than memorizing individual solutions.

This resource suits developers preparing for technical interviews or those building foundational DSA knowledge from scratch. It works best for self-directed learners who benefit from structured guidance on which concepts to study and in what order. The collection bridges the gap between theoretical understanding and practical problem-solving by grouping LeetCode-style problems under recognizable patterns, making it easier to identify which techniques apply to unfamiliar problems.

The project maintains an active blog with guides on DSA mastery strategies and interview preparation approaches. The repository itself functions as a living index, with its primary value in organizing and curating external resources rather than hosting original problem solutions or implementations. Updates appear to focus on expanding pattern coverage and adding new learning guides to the accompanying blog.