Each problem solution contains:
- Solution file in JavaScript/TypeScript (
num.name.js/num.name.ts) - Comments Detailed explanation with:
- Problem statement
- Approach explanation
- Solution code
- Test cases
| Difficulty | Completed | Total | Progress |
|---|---|---|---|
| Easy | 10 | 100 | █ |
| Medium | 0 | 100 | |
| Hard | 0 | 100 |
Last Updated: 2025-8-9
- Navigate to desired difficulty level
- Find problem by group number or problem ID
- Each solution folder contains:
- Implementation file
- Use as reference or learning resource
- Follow existing folder structure
- For new solutions:
- Create folder with problem ID and name
- Add solution file
- Include detailed README.md
- Keep solutions consistent in style
Happy coding! 🚀
LeetCode Roadmap 2025
-
Arrays and Strings
-
Hash Maps and Sets
-
Two Pointers
-
Sliding Window
- Binary Search
- Depth-First and Breadth-First Search
- Recursion and Backtracking
- Dynamic Programming (Top-down and Bottom-up)
- Greedy algorithms
-
Focus on high-frequency problems tagged by company
-
Solve them by category (e.g., all Google dynamic programming questions)
-
Repeat difficult ones until the logic is intuitive
-
LeetCode Contest Archives
-
Mock interviews
-
Platforms like Pramp or Interviewing.io
-
What did I miss in my first approach?
-
How can I optimize my solution?
-
Can I explain this problem to someone else?
-
Time management practice
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Real-world feedback on your speed and accuracy
-
Competitive ranking to benchmark progress
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Tries and Segment Trees
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Union-Find
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Topological Sorting
-
Bit Manipulation
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Advanced Dynamic Programming (memoization tables, state reduction)
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Reattempt tough problems after 3 days, 1 week, and 2 weeks
-
Record new insights from each attempt
-
Maintain a “fail list” as part of your dashboard
- Study from top solutions and editorials
- Build your own problem list
- Don’t neglect behavioral prep
- Join a community for accountability
- Balance LeetCode with project work