Welcome to the DSA Mastery repository! This repository contains over 200 Data Structures and Algorithms (DSA) questions along with their solutions. Each solution is written and developed by myself, providing comprehensive coverage of fundamental to advanced DSA concepts. Whether you're a beginner or an experienced developer, this repository will help you enhance your problem-solving skills and deepen your understanding of DSA.
- 200+ DSA Questions: Covering a wide range of topics including arrays, linked lists, stacks, queues, trees, graphs, dynamic programming, sorting, searching, and more.
- Detailed Solutions: Each question is accompanied by a detailed solution, including the code, explanation, and time/space complexity analysis.
- Structured Learning Path: The questions are organized by difficulty level and topic, allowing for a progressive learning experience.
- Self-Written Code: All code in this repository is written by myself, ensuring a consistent coding style and approach.
- Comprehensive Documentation: Each section and solution is well-documented to provide clear and concise explanations.
The repository is organized into folders based on the type of data structure or algorithm. Each folder contains subfolders for different difficulty levels: Easy, Medium, and Hard. Here is a brief overview of the structure:
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├── Arrays
│ ├── Easy
│ ├── Medium
│ └── Hard
├── LinkedLists
│ ├── Easy
│ ├── Medium
│ └── Hard
├── Stacks
│ ├── Easy
│ ├── Medium
│ └── Hard
├── Queues
│ ├── Easy
│ ├── Medium
│ └── Hard
├── Trees
│ ├── Easy
│ ├── Medium
│ └── Hard
├── Graphs
│ ├── Easy
│ ├── Medium
│ └── Hard
├── DynamicProgramming
│ ├── Easy
│ ├── Medium
│ └── Hard
├── Sorting
│ ├── Easy
│ ├── Medium
│ └── Hard
├── Searching
│ ├── Easy
│ ├── Medium
│ └── Hard
└── README.md
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Clone the Repository:
git clone https://github.com/yourusername/DSA-Mastery.git cd DSA-Mastery -
Navigate to the Desired Section: Explore the folders to find the topic and difficulty level you're interested in.
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Review the Questions and Solutions: Each folder contains a README file listing the questions and providing links to their solutions. Open the solution files to read the code and explanations.
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Practice and Learn: Try solving the questions on your own before looking at the solutions. Use the provided explanations to understand different approaches and techniques.
If you have suggestions for new questions or improvements to existing solutions, feel free to open an issue or submit a pull request. Contributions are welcome!
If you have any questions or feedback, feel free to contact me at Shreesh Tiwari.
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Happy coding!