Python CI Pipeline with GitHub Actions

This project demonstrates a simple and practical Continuous Integration (CI) pipeline using GitHub Actions for a Python application.
The pipeline automatically runs tests whenever code is pushed to the repository or a pull request is created.

---

🚀 What This Project Does

• Automatically runs tests using PyTest
• Triggers CI on every push and pull request
• Uses GitHub Actions with a Linux (Ubuntu) runner
• Installs dependencies and validates code automatically
• Fails the pipeline if tests do not pass

---

🧰 Tech Stack

• Python
• PyTest
• Git & GitHub
• GitHub Actions
• YAML

---

📂 Project Structure

. ├── .github/ │ └── workflows/ │ └── ci.yml ├── calculator.py ├── test_calculator.py ├── requirements.txt └── README.md

⚙️ How the CI Pipeline Works

1. Code is pushed to the GitHub repository
2. GitHub Actions triggers the workflow
3. A fresh Ubuntu virtual machine is provisioned
4. Python is set up and dependencies are installed
5. PyTest is executed automatically
6. The workflow passes or fails based on test results

---

🧪 Run Tests Locally

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

# Install dependencies
pip install -r requirements.txt

# Run tests
pytest

✅ CI Status
The CI pipeline runs automatically on every push and pull request to validate the code.
Check the status at the badge above.