This project is a comprehensive collection of data structures and algorithm problems that I have tackled while preparing for interviews, using the Python programming language. It serves as a valuable resource for anyone aiming to enhance their coding skills and excel in technical interviews.
- A curated selection of common data structure and algorithm problems frequently encountered in technical interviews.
- Solutions implemented in Python, providing clear and concise explanations.
- Organized by topic, making it easy to find specific problems and solutions.
- Well-documented code with detailed comments, allowing for easy understanding and learning.
Explore a wide range of fundamental data structures, including:
- Arrays
- Linked Lists
- Stacks and Queues
- Trees and Graphs
- Hash Tables
- And more!
Each data structure comes with a set of problems and solutions to help you grasp their practical applications and strengthen your problem-solving skills.
Dive into various algorithms such as:
- Sorting algorithms (e.g., QuickSort, MergeSort)
- Searching algorithms (e.g., Binary Search)
- Dynamic programming
- Graph algorithms (e.g., Breadth-First Search, Depth-First Search)
- Greedy algorithms
- And more!
Detailed explanations and Python implementations are provided to guide you through the intricacies of these algorithms and their usage in interview scenarios.
Contributions are welcome! If you'd like to contribute new problems, solutions, or improvements to the project, please follow the guidelines outlined in our Contributing Guide.
This project is licensed under the MIT License - see the LICENSE file for details.
Ready to get started on your interview preparation journey? Clone this repository and start exploring the world of data structures and algorithms in Python!
git clone https://github.com/Dev0psKing/alx-interview.git
cd alx-interview
# Begin your coding journey!