Hack Complex Problems Together

This repository provides a comprehensive guide to getting started with Python and includes examples and tools for problem-solving. It leverages various Python libraries and tools such as Streamlit, NumPy, Pandas, GitHub Actions, and CodeCov to offer a robust starting point for Python projects.

To install project dependencies..

pip install -r requirement.txt

To Run Tests..

Validate & generate unit test code coverage..

pytest -v --cov=src/problem_solving_questions --cov-report=html --cov-report=term tests/

Features

• Python: Core programming language used for the project.
• Streamlit: For creating interactive web applications.
• NumPy: For numerical computing.
• Pandas: For data manipulation and analysis.
• GitHub Actions: For CI/CD workflows.
• CodeCov: For tracking code coverage metrics.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request or open an Issue.