How to Run a Python Script using Docker?
Python is one of the most popular and widely used programming languages. Right from building a simple GUI app using Tkinter to building a full-fledged web application, Python is used everywhere. In this article, we will see how to create a Docker Container and configure it to run a simple “Hello World” Python script. Yo do so follow the below steps:
Step 1: Creating the Python Script
Create a simple Python Script with called test.py inside a directory (say hello-demo). Copy the below statement inside the Python script and save it inside the directory.
Step 2: Creating the Dockerfile
Inside the same directory, create another file called Docker file. In this file, we will define the sequence of steps needed to create the Docker Image. Take a look at the below Dockerfile template.
FROM python:3 WORKDIR /usr/src/app COPY . . CMD ["test.py"] ENTRYPOINT ["python3"]
In the above Dockerfile, we have pulled the Python 3 Base Image from the Docker Repository. We have set the working directory to /usr/src/app. After that, we have copied all the files to the working directory. Using CMD and ENTRYPOINT instructions, we have instructed the Container to run the test.py Python script when the container is started.
Your directory structure should be:
Step 3: Building the Docker Container
After you have created both the Python script and the Dockerfile, you can now use the Docker build command to build your Docker Image.
sudo docker build -t hello-demo .
Step 4: Verify the Image Build
After you have built your Docker Image, you can list all the Images to check whether your image has been successfully built or not.
sudo docker images
You will find your Image name listed here.
Step 5: Running the Docker Container
Now, you can use the Docker run command to run your Docker Container.
sudo docker run -it hello-demo test.py
After running the Docker Container, you will see the output printed inside the bash.
To conclude, in this article, we saw how to build a simple hello world Python script and run it inside the Docker Container.
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