📘 Advanced DSA in Python

Welcome to the Advanced DSA in Python repository!

This is your complete guide to learning and mastering Data Structures and Algorithms (DSA) using Python — from fundamentals to advanced problem-solving.

🚀 What You'll Learn

🔹 1. DSA Basics

• Arrays and Strings
• Time & Space Complexity
• Recursion
• Sorting Algorithms
• Searching Algorithms

🔹 2. Linear Data Structures

• Lists
• Stacks (LIFO)
• Queues (FIFO)
• Linked Lists (Singly, Doubly, Circular)

🔹 3. Non-linear Data Structures

• Trees (Binary Tree, BST, AVL)
• Graphs (BFS, DFS, Dijkstra, etc.)
• Heaps (Min-Heap, Max-Heap)
• Hashing and Hash Tables

🔹 4. Advanced Algorithms

• Dynamic Programming (DP)
• Backtracking
• Greedy Algorithms
• Divide and Conquer
• Sliding Window & Two Pointers
• Binary Search on Answer

🔹 5. LeetCode & Practice Problems

• 100+ LeetCode Challenges (Easy to Hard)
• Problem-by-problem walkthroughs
• Coding patterns & strategies
• Interview prep solutions

🧠 My Learning Journey

This repository is part of my personal mission to become a top Machine Learning / AI Engineer, with strong roots in DSA and Python.

• 🔁 Daily Problem Solving
• 🧠 Logic Building
• 💻 LeetCode Practice
• 📈 Consistent GitHub Progress

🌟 How to Use

This repo is ideal for:

• Students preparing for technical interviews
• Self-learners mastering DSA
• Python developers enhancing their algorithmic skills

👉 Browse by folder, understand the concepts, and run code examples.

🤝 Feedback & Contribution

Feel free to:

• ⭐ Star this repository
• 🛠 Open issues for doubts or suggestions
• 📥 Submit pull requests to contribute

Let’s grow together, one problem at a time!

Made with ❤️ by Mirza Yasir Abdullah Baig
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