Welcome to the ultimate Data Structures and Algorithms (DSA) preparation repository. This repository is a meticulously curated collection of high-quality, interview-level coding problems and their corresponding optimal Python solutions.

This project aims to provide a comprehensive resource for students and professionals preparing for technical interviews at top-tier tech companies. Each topic folder contains a structured set of 20 problems, ranging from Easy to Hard difficulty.

Each topic folder follows a strict, professional structure:

Topic_Name/
├── Problems/
│   ├── problem1.md
│   ├── ...
│   └── problem20.md
└── Solutions/
    ├── solution1.md
    ├── ...
    └── solution20.md

Contains 20 Markdown files. Each file includes:

• Title: Descriptive name of the problem.
• Problem Statement: Detailed explanation of the task.
• Input/Output Formats: Clear definitions of expected data.
• Constraints: Time and space limits.
• Example Cases: Sample walkthroughs.

Contains 20 Markdown files corresponding to the problems. Each file includes:

• Approach: High-level explanation of the logic.
• Step-by-Step Logic: Line-by-line breakdown for beginners.
• Complexity Analysis: Big O notation for Time and Space.
• Python Code: Clean, well-commented, and optimized implementation.

• Language: Python 3.10+
• Format: Markdown
• Target Difficulty: Easy (20%), Medium (60%), Hard (20%)