**Course Title:** Modern Python Programming: Best Practices and Trends **Section Title:** Packaging, Version Control, and Deployment **Topic:** Package a Python project and deploy it using Docker and Git.(Lab topic) **Objective:** By the end of this lab, you will learn how to package a Python project and deploy it using Docker and Git. You will understand the importance of packaging and deployment, and how to use Docker and Git to streamline your development workflow. **Materials Needed:** * Python 3.8 or later * pip 20.0 or later * Docker 19.03 or later * Git 2.24 or later * A Python project with a `requirements.txt` file * A Dockerfile for your Python project **Packaging a Python Project** --------------------------- Before we can deploy our Python project, we need to package it first. We will use `setuptools` to create a source distribution of our project. Here's an example of how you can create a `setup.py` file for your project: ```python from setuptools import setup, find_packages setup( name='myproject', version='1.0', packages=find_packages(), install_requires=['requests', 'numpy'], author='Your Name', author_email='your@email.com', ) ``` To create a source distribution of your project, run the following command: ```bash python setup.py sdist ``` This will create a `dist` directory in your project root with a `.tar.gz` file containing your project source code. **Deploying with Docker** ------------------------- Docker is a popular containerization platform that allows you to package your application and its dependencies into a single container that can be run on any system that supports Docker. Here's an example of how you can create a `Dockerfile` for your Python project: ```dockerfile FROM python:3.9-slim WORKDIR /app COPY requirements.txt . RUN pip install -r requirements.txt COPY . . CMD ["python", "app.py"] ``` To build a Docker image for your project, run the following command: ```bash docker build -t myproject . ``` This will create a Docker image with the tag `myproject`. **Deploying with Git** --------------------- Git is a popular version control system that allows you to track changes to your codebase and collaborate with others. Here's an example of how you can use Git to deploy your Python project: First, create a new Git repository for your project by running the following command: ```bash git init ``` Next, add all the files in your project directory to the Git repository by running the following command: ```bash git add . ``` Now, commit all the changes to your Git repository by running the following command: ```bash git commit -m "Initial commit" ``` Finally, push your changes to a remote Git repository by running the following command: ```bash git remote add origin https://github.com/yourusername/yourproject.git git push -u origin master ``` To deploy your project using Docker and Git, you can use a continuous integration and deployment (CI/CD) tool like GitHub Actions or CircleCI. These tools allow you to automate the process of building and deploying your project whenever you push changes to your Git repository. **Example Use Case:** Let's say you have a Python project that uses Docker and Git for deployment. You want to deploy your project to a production environment whenever you push changes to your Git repository. Here's an example of how you can use GitHub Actions to automate the deployment process: First, create a new file in your project repository called `.github/workflows/deploy.yml` with the following contents: ```yaml name: Deploy on: push: branches: - main jobs: deploy: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 - name: Login to Docker Hub uses: docker/login-action@v1 with: username: ${{ secrets.DOCKER_USERNAME }} password: ${{ secrets.DOCKER_PASSWORD }} - name: Build and push Docker image run: | docker build -t myproject . docker tag myproject:latest ${{ secrets.DOCKER_USERNAME }}/myproject:latest docker push ${{ secrets.DOCKER_USERNAME }}/myproject:latest - name: Deploy to production run: | # Deploy to production environment using Docker ``` This GitHub Action will build and deploy your Docker image to a production environment whenever you push changes to your Git repository. **Conclusion:** In this lab, you learned how to package a Python project and deploy it using Docker and Git. You created a `setup.py` file for your project, built a Docker image, and deployed it using Git. You also learned how to use GitHub Actions to automate the deployment process. **Additional Resources:** * [Docker Documentation](https://docs.docker.com/) * [Git Documentation](https://git-scm.com/docs) * [GitHub Actions Documentation](https://docs.github.com/en/actions) **Need Help?** If you have any questions or need help with deploying your Python project, feel free to leave a comment below or ask for help in the discussion forum. **What's Next?** In the next lab, you will learn how to use continuous integration and deployment (CI/CD) tools to automate the deployment process. You will learn how to use tools like Jenkins, Travis CI, and CircleCI to automate the deployment process.