Watch python docker image github Video Tutorial

Download this code from https://codegive.com In this tutorial, we will guide you through the process of creating a Python Docker image for your application and automating the build and deployment process using GitHub Actions. Docker allows you to package your application and its dependencies into a container, ensuring consistent and reproducible deployments. Make sure you have the following installed on your system: Create a simple Python project or use an existing one. Ensure your project has a requirements.txt file containing the dependencies. Create a file named Dockerfile in the root of your project. This file contains instructions for building a Docker image. This Dockerfile uses the official Python 3.9 image, installs project dependencies, and sets up the command to run your application. Create a new GitHub repository for your project. Initialize a git repository in your project folder, commit your changes, and push them to GitHub. Create a folder named .github/workflows in your repository, and inside it, create a file named python-docker.yml. This GitHub Actions workflow automates the build and push process whenever changes are pushed to the main branch. Go to your GitHub repository, navigate to "Settings," then "Packages," and enable GitHub Container Registry for your repository. Make a small change in your code or documentation, commit, and push it to GitHub. This will trigger the GitHub Actions workflow, building and pushing the Docker image to GitHub Container Registry. Congratulations! You have successfully created a Python Docker image and automated the build process using GitHub Actions. You can now use this Docker image for deployment on various platforms. ChatGPT