This repository provides a structured roadmap for solving LeetCode problems across multiple programming languages, including Dart, Python, and JavaScript. The goal is to help developers strengthen their problem-solving skills and prepare for technical interviews.
- Choose a Language – Pick the programming language you are most comfortable with or want to practice.
- Follow the Topics – Problems are categorized by topic to help you systematically improve your skills.
- Practice Regularly – Solve problems daily, track your progress, and revisit difficult concepts.
- Understand the Algorithms – Focus on the fundamental algorithms used in problem-solving.
- Optimize Solutions – Aim for better time and space complexity.
- Arrays & Hashing
- Two Pointers
- Sliding Window
- Stack
- Binary Search
- Linked List
- Trees & Graphs
- Dynamic Programming
- Bit Manipulation
- Math & Geometry
- Tries
- Heaps (Priority Queue)
- Backtracking
- Greedy Algorithms
- Advanced Topics (Segment Trees, KMP Algorithm, etc.)
- Start with Arrays & Hashing and Two Pointers.
- Gradually move to Graphs and Dynamic Programming.
- Mix different topics to improve versatility in problem-solving.
- Learn from top solutions and optimize your code.
- LeetCode – Main platform for practicing problems.
- GeeksforGeeks – Algorithm explanations.
- HackerRank – Additional practice problems.
Happy coding and best of luck with your problem-solving journey! 🚀