https://algomaster.io/practice/dsa-patterns Prerequisites: A basic understanding of computer science fundamentals is recommended. Familiarity with a programming language is essential. Learning Sequence: Phase 1: Foundational Knowledge: Familiarize yourself with fundamental data structures (arrays, strings, binary trees, linked lists, stacks, queues, hash maps). Learn basic algorithms (string searching, recursion). Grasp Big O notation for calculating time and space complexity. Resources like William Fiset's data structure playlist on YouTube are helpful. Consider reading "Data Structures and Algorithms" by Narasimha Karumanchi. Phase 2: Practical Application: Start with easy coding challenges on platforms like LeetCode. Focus on understanding the problem statement, expected inputs and outputs, and planning your approach before writing code. Gradually increase the difficulty level to medium and then hard problems. Don't rush; prioritize understanding over quantity. Solving 20 problems with thorough understanding is better than 100 without. Analyze time and space complexity for your solutions. Optimize your algorithms to reduce complexity. Phase 3: Advanced Techniques & Practice: Work through curated lists of LeetCode problems (e.g., Top 75, Top 100, 150 interview questions). Practice in a timed environment using LeetCode's timer or by participating in contests. Identify patterns in problems and apply similar approaches to solve related questions. Create a GitHub repository to document these patterns. If stuck on a problem for 30-60 minutes, review hints, solutions, and video explanations. Then, implement the solution yourself. Regularly revisit previously solved problems to reinforce your understanding. Practice Suggestions: LeetCode: Solve a diverse range of problems, focusing on understanding rather than sheer quantity. Pattern Recognition: Identify and document recurring patterns in problems and solutions. Timed Practice: Participate in LeetCode contests to simulate interview conditions. Review and Revision: Regularly revisit solved problems to reinforce learning and identify areas for improvement. Focus on Understanding: Avoid memorizing solutions; instead, focus on understanding the underlying logic and problem-solving techniques. Explain your thought process clearly. GitHub Repository: Create a repository to track your progress and document common patterns and solutions.