# Data-Structures-Problem-Solving

Welcome to the **Data-Structures-Problem-Solving** repository! This project is dedicated to those preparing for software engineering interviews and anyone interested in deepening their understanding of data structures and algorithms. Through detailed examples and explanations, this repository serves as a comprehensive guide to mastering the intricacies of various data structures and algorithms.

## Topics Covered
- Algorithms
- Data Structures
- Problem Solving Techniques
- Interview Preparation

## Project Structure

The repository is organized as follows:

- **/src**: Contains all source code files with solutions to specific problems.
  - **/arrays**
  - **/linked_lists**
  - **/trees**
  - **/graphs**
  - **/hash_tables**
- **/tests**: Includes test cases for various algorithms implemented in the src directory.
- **/docs**: Documentation and resources related to data structures and algorithms.

## Setup and Installation

No specific installation is required to browse and utilize the resources in this repository. However, if you wish to run the code locally, follow these steps:

### Prerequisites

- Ensure you have a modern IDE that supports Python, Java, or C++ (depending on the language of choice).
- Install the necessary compiler or interpreter for your language of choice.

### Running the Code

1. Clone the repository to your local machine:
   ```bash
   git clone https://github.com/your-username/Data-Structures-Problem-Solving.git

2. Navigate to the specific directory of interest:

   cd Data-Structures-Problem-Solving/src

3. Run the file using the appropriate command for your environment (e.g., python3 arrays/dynamic_array.py).

Usage Examples

Here are some examples of how you might use the code in this repository:

Example 1: Using a Dynamic Array

Navigate to the arrays directory and run the dynamic array implementation:

cd src/arrays
python3 dynamic_array.py

Example 2: Testing a Linked List Implementation

To run tests on the linked list implementation:

cd tests
python3 test_linked_list.py

How to Contribute

Contributions to the Data-Structures-Problem-Solving repository are welcome! Here are some ways you can contribute:

• Propose a New Problem: Have an interesting problem? Propose it by creating an issue with the tag problem-proposal.
• Improve Existing Solutions: Submit a pull request with improved solutions or additional comments to make the code clearer.
• Documentation: Enhance the existing documentation or add new sections to help others understand complex algorithms.

Before contributing, please ensure your code adheres to the following:

• Well-commented and clean.
• Accompanied by appropriate tests.
• Follows the existing project structure and coding style.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

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Happy Coding! Dive deep into data structures and algorithms, and ace your next interview!

This README.md file provides a clear and structured overview of the repository, setup instructions, usage examples, contribution guidelines, and licensing information. Adjust the paths and commands according to the actual content and structure of your repository.