• Repository Overview
• Topics Covered
• Getting Started
• Usage
• Contributing
• License
• Releases

This repository, Leetcode-250-Python-DSA, focuses on mastering the top 250 Leetcode problems. These problems are crucial for interviews at FAANG companies and other big tech firms. Each solution comes with clear explanations, intuitive patterns, and clean code.

The goal is to provide a structured approach to problem-solving that will prepare you for technical interviews.

This repository includes a wide range of topics essential for mastering data structures and algorithms. Here are the main topics:

• Algorithms
• Amazon Interview
• Blind 75
• Coding Interview
• Data Structures
• FAANG Interview Prep
• Google Interview
• Interview Preparation
• Leetcode
• Leetcode 250
• Meta Interview
• Microsoft Interview
• Neetcode
• Netflix Interview
• Problem Solving
• Python Coding
• Python Coding Interview
• Python DSA
• Top Leetcode Problems

To get started with this repository, follow these steps:

1. Clone the Repository

   Use the following command to clone the repository to your local machine:

   git clone https://github.com/abuujr87/Leetcode-250-Python-DSA.git

2. Navigate to the Directory

   Change your working directory to the cloned repository:

   cd Leetcode-250-Python-DSA

3. Install Dependencies

   Make sure you have Python 3.8 or higher installed. Install any necessary dependencies using pip:

   pip install -r requirements.txt

4. Explore the Solutions

   Each problem has its own folder containing the solution, test cases, and explanations. You can start solving problems right away.

Each problem in this repository follows a standard format. Here's what you can expect:

• Problem Statement: A clear description of the problem.
• Example Input/Output: Sample inputs and expected outputs to help you understand the problem.
• Solution: A well-commented Python solution that adheres to best coding practices.
• Complexity Analysis: A breakdown of time and space complexity for the solution.

Here’s a simple example of how a problem is structured:

Problem Statement: Given an array of integers, return indices of the two numbers such that they add up to a specific target.

Example Input:

nums = [2, 7, 11, 15]
target = 9

Example Output:

[0, 1]

Solution:

def two_sum(nums, target):
    num_map = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in num_map:
            return [num_map[complement], i]
        num_map[num] = i

Complexity Analysis:

• Time Complexity: O(n)
• Space Complexity: O(n)

Contributions are welcome! If you want to add a new solution or improve existing ones, please follow these steps:

1. Fork the Repository: Click on the "Fork" button on the top right corner of the repository page.

2. Create a New Branch: Create a new branch for your feature or fix:

   git checkout -b feature/your-feature-name

3. Make Changes: Implement your changes and test them.

4. Commit Your Changes: Commit your changes with a clear message:

   git commit -m "Add solution for problem X"

5. Push to Your Branch: Push your changes to your forked repository:

   git push origin feature/your-feature-name

6. Create a Pull Request: Go to the original repository and create a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

To download the latest releases, visit the Releases section. If you need to download a specific file, please execute it after downloading.

Feel free to explore the solutions, and good luck with your interview preparation!