Welcome to the LeetCode Problem Solving repository!

This repository contains solutions to various problems from LeetCode, a popular platform for coding challenges.

Table of Contents

• Introduction
• Getting Started
• Repository Structure
• Contributing
• Best Practices
• License

Introduction

The purpose of this repository is to:

• Share solutions to LeetCode problems.
• Help others understand different approaches to solving these problems.
• Practice and improve problem-solving skills.

Getting Started

Prerequisites

To get started with the repository, ensure you have the following installed on your local machine:

• Python (version 3.x)
• Git

Cloning the Repository

Clone this repository to your local machine using the following command:

git clone https://github.com/Sisyetad/leetcode.git cd leetcode

Running the Solutions

Each problem is solved using Python and Java. You can run the solutions using any Python interpreter. For example:

python solutions/problem_1_two_sum.py

Repository Structure

The repository is organized as follows:

leetcode-problem-solving/ ├── solutions/ │ ├── problem_1_two_sum.py │ ├── problem_2_add_two_numbers.py │ └── ... ├── README.md └── .gitignore

solutions/: Contains Python files, each corresponding to a LeetCode problem.

README.md: This file, providing an overview and instructions.

.gitignore: Specifies files to ignore in the repository.

Contributing

We welcome contributions! To contribute:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Commit your changes with clear commit messages.
4. Push your branch to your forked repository.
5. Create a Pull Request.

Contribution Guidelines

• Follow the existing code style.
• Include problem descriptions as comments in the solution files.
• Provide a clear and concise explanation of your solution.
• Ensure your code is well-documented and readable.

Best Practices

• Understand the Problem: Read the problem statement carefully and make sure you understand the requirements.
• Plan Your Approach: Before coding, plan your approach and think about edge cases.
• Test Your Solution: Test your solution with different inputs to ensure its correctness.
• Optimize: Consider the time and space complexity of your solution and optimize if possible.

License

This repository is licensed under the MIT License. See the LICENSE file for more information.