🚀 Data Structures and Algorithms (DSA) Repository 🎯

Welcome to my Data Structures and Algorithms (DSA) repository! This collection showcases my journey of solving various DSA problems. It's my way of honing problem-solving skills, preparing for technical interviews, and mastering core computer science concepts.

📚 Table of Contents

1. 📖 Introduction
2. 🛠️ Languages and Technologies
3. 📁 Repository Structure
4. 🧵 Topics Covered
5. 🔍 Approach and Problem Solving
6. 👨‍💻 How to Use
7. 🤝 Contributing
8. 📝 License

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📖 Introduction

This repository contains my solutions to DSA problems sourced from platforms like LeetCode, HackerRank, and InterviewBit. My goal is to continuously improve problem-solving skills and strengthen my grasp of foundational algorithms and data structures.

🛠️ Languages and Technologies

• Primary Languages: C++, Java, Python
• Tools & IDEs: VS Code, IntelliJ IDEA, Eclipse, etc.

🧵 Topics Covered

Here are some of the key topics you'll find in this repository:

• 🔢 Arrays and Strings
• 🔗 Linked Lists
• 📦 Stacks and Queues
• 🌳 Trees and Graphs
• 🧮 Dynamic Programming (DP)
• ⚖️ Greedy Algorithms
• 🔎 Searching & Sorting
• 🎲 Recursion & Backtracking
• 🧩 Hashing & HashMaps
• ⚡ Bit Manipulation
• 📐 Mathematics & Number Theory

🔍 Approach and Problem Solving

Here's my approach for each problem:

1. 🧠 Problem Understanding: Analyze and break down the problem.
2. 📝 Solution Design: Plan a strategy and data structure.
3. ⏱️ Complexity Analysis: Consider time and space efficiency.
4. 💻 Coding: Implement a clean and modular solution.
5. 🔧 Optimization: Refine for better performance.