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How to Build Python Application With Docker

How to Build Python Application With Docker

Docker is an open-source platform that provides an easy way to build, package, and deploy applications as containers. With Docker, you can create a self-contained environment for your Python applications, including all necessary dependencies and libraries. In this article, we will show you how to build a Python application with Docker and deploy it as a containerized application.

Introduction:

Docker is a powerful tool that can help developers create, test, and deploy applications faster and more efficiently. It allows you to package your application into a container, which contains everything needed to run the application, including libraries, dependencies, and even the operating system.

Table of Contents

  1. Installing Docker on Your Machine

  2. Building a Docker Image for Your Python Application

  3. Running Your Python Application as a Container

Installing Docker on Your Machine

Before you can start building Docker images, you need to install Docker on your machine. You can download Docker from the official website and follow the instructions to install it on your machine.

Once you have installed Docker, you can test that it is working correctly by running the following command in your terminal:

docker run hello-world

This command will download a small Docker image and run a container that prints a message to your terminal.

Building a Docker Image for Your Python Application

To build a Docker image for your Python application, you need to create a Dockerfile. A Dockerfile is a text file that contains a set of instructions that Docker will use to build an image for your application.

Here is an example Dockerfile for a Python application:

FROM python:3.9-slim-buster

WORKDIR /app

COPY requirements.txt .

RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD [ "python", "./app.py" ]

Let's go through each line of this Dockerfile:

  • FROM python:3.9-slim-buster - This line specifies the base image to use for the Docker image. In this case, we are using the official Python 3.9 slim-buster image.
  • WORKDIR /app - This line sets the working directory for the Docker image to /app.
  • COPY requirements.txt . - This line copies the requirements.txt file from the current directory to the Docker image's /app directory.
  • RUN pip install --no-cache-dir -r requirements.txt - This line installs the Python dependencies specified in the requirements.txt file.
  • COPY . . - This line copies all files from the current directory to the Docker image's /app directory.
  • CMD [ "python", "./app.py" ] - This line specifies the command to run when the container starts. In this case, we are running the app.py file.

To build the Docker image, navigate to the directory containing the Dockerfile and run the following command:

docker build -t my-python-app .

This command will build a Docker image with the tag my-python-app.

Running Your Python Application as a Container

Now that you have built your Docker image, you can run it as a container using the following command:

docker run -p 5000:5000 my-python-app

This command will start a container using the my-python-app image and map port 5000 on the host machine to port 5000 in the container. You can access your Python application by navigating to http://localhost:5000 in your web browser.


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  • That's it for this post. Keep practicing and have fun. Leave your comments if any.

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