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.
| Folder Topic | Status | Problems Completed |
|---|---|---|
| Array and List | ✅ Complete | 20 / 20 |
| Linked List | ✅ Complete | 20 / 20 |
| Stack and Queues | ✅ Complete | 20 / 20 |
| Trees | ✅ Complete | 20 / 20 |
| Heaps | ✅ Complete | 20 / 20 |
| Sorting and Searching | ✅ Complete | 20 / 20 |
| Matrix | ✅ Complete | 20 / 20 |
| String | ✅ Complete | 20 / 20 |
| Hash | ✅ Complete | 20 / 20 |
| Sliding Window | ✅ Complete | 20 / 20 |
| Two Pointer | 🛠️ In Progress | 0 / 20 |
| Recursion | ⏳ Pending | 0 / 20 |
| Backtracking | ⏳ Pending | 0 / 20 |
| Dynamic Programming | ⏳ Pending | 0 / 20 |
| Graphs | ⏳ Pending | 0 / 20 |
| ... and more | ⏳ Pending | - |
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%)