The Complete Practical Docker Guide - Creating Dockerfile for the Python API Service

This tutorial guides you through creating a custom Docker image for an API application. It covers setting up a Dockerfile, choosing a Python base image, configuring the working directory, exposing necessary ports, and installing Python dependencies. The tutorial also explains how to copy application files into the Docker image and set up the CMD instruction to run the application. By the end, you'll understand how to build and run a Docker container for a Python Flask web server.

What is the purpose of creating a custom Docker image from the API folder?

What file is created to provide instructions for Docker?

What base image is used for the custom Docker image?

What is the purpose of the 'WORKDIR' instruction in the Docker file?

Why is it not recommended to place all application files in the root of the Docker image?

How does Docker handle the creation of directories specified in the 'WORKDIR' instruction?

What does the 'EXPOSE' instruction do in a Docker file?

What command is used to install Python dependencies inside the Docker image?

What is the role of the 'COPY' instruction in the Docker file?

What is the significance of the 'CMD' instruction in the Docker file?