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🧠 Mastering Data Structures and Algorithms in Python – 6-Week Roadmap

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📌 Why Learn DSA?

Data Structures and Algorithms (DSA) are fundamental skills for software developers. They help you:

• 💼 Ace technical interviews at top companies like Google, Amazon, Meta.
• 🧠 Improve problem-solving and logical thinking.
• ⚙️ Write efficient and scalable code.
• 🧪 Build systems powering real-world apps and services.

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🧰 Tools & Resources

Category	Tools & Links
📘 Main Book	Hands-On Data Structures and Algorithms with Python by Basant Agarwal
🎥 Videos	NeetCode, Abdul Bari
💻 Practice	LeetCode, HackerRank, GeeksforGeeks
📝 Tracking	Notion, Google Sheets, Notebook
🧑‍💻 IDEs	VS Code, PyCharm, Jupyter Notebook

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🗺️ 6-Week Roadmap Overview

Week 1: DSA Foundation & Python Prerequisites

• Python basics: lists, dicts, loops, recursion
• Big-O notation and time complexity
• Practice: 5 warm-up Python problems
• Read Chapters 1–2 from the book
• Watch: NeetCode “Big-O Notation Explained”

Week 2: Basic Data Structures

• Arrays, Strings, Stacks, Queues
• Linked Lists (Singly, Doubly, Circular)
• Implement from scratch + problems: Two Sum, Valid Parentheses, Reverse Linked List

Week 3: Hashing, Recursion & Backtracking

• Hash maps and sets
• Recursive functions & patterns
• Backtracking basics
• Problems: Group Anagrams, Sudoku Solver

Week 4: Advanced Data Structures

• Trees (Binary, BST), Heaps
• Graphs (BFS, DFS)
• Tries (Prefix Trees)
• Practice: Diameter of Binary Tree, Clone Graph

Week 5: Mastering Problem-Solving Patterns

• Two Pointers, Sliding Window, Binary Search
• Greedy, Backtracking, Dynamic Programming (Intro)
• Problems: Container With Most Water, Jump Game, Climbing Stairs

Week 6: Projects & Interview Prep

• Mini projects: Spell Checker (Trie), Pathfinding Visualizer (Graph), Event Scheduler (MinHeap)
• Blind 75 LeetCode problems
• Mock interviews: Pramp, Interviewing.io

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🧠 Core Problem-Solving Patterns

Pattern	Example Problems
Sliding Window	Longest Substring Without Repeating
Two Pointers	Container With Most Water
Binary Search	Search in Rotated Sorted Array
Backtracking	N-Queens, Sudoku
Greedy	Gas Station, Jump Game
Dynamic Programming	Fibonacci, 0/1 Knapsack, Longest Common Subsequence

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📓 How to Track Progress

• Maintain a problem log using Notion or Google Sheets.
• Set daily targets (e.g., 2–3 problems/day).
• Revise weekly by re-solving tough problems.
• Use VS Code snippets or a notebook for notes.
• Join coding groups or study buddies for accountability.

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✅ Final Tips

• Consistency beats speed — steady daily practice wins.
• Revisit problems after 1 week and 1 month to retain knowledge.
• Master problem-solving patterns — they cover 80% of interview questions.
• Approach DSA as a long-term investment for career growth.

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📢 License & Contribution

This roadmap is open-source under the MIT License.
Feel free to fork, improve, and share. Contributions are welcome!

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Happy coding! 🚀