DockerFile Image Creation and Pushing to DockerHub

Whether you're a developer automating deployments or a student getting started with DevOps, learning how to create Docker images and push them to DockerHub is essential. In this post, we’ll walk through: Writing a simple Dockerfile Building a Docker image Tagging the image Pushing it to DockerHub Let’s get started! What is a Dockerfile? A Dockerfile is a plain text file that contains instructions on how to build a Docker image. Think of it as a recipe — it tells Docker how to build an environment tailored for your application. Dockerfile FROM python:3.14.0a7-alpine3.21 # Install required system dependencies RUN apk add --no-cache build-base musl-dev linux-headers # Install Python libraries RUN pip install --upgrade pip && \ pip install pandas scikit-learn matplotlib # Copy and run your script COPY . . CMD [ "python", "hello_world_ml.py" ] 1. Build the Docker Image docker build -t DockerUserName/dockerfilename:latest . 2. Run the Docker Image docker run --rm DockerUserName/dockerfilename:latest 3. List Docker Images docker image ls 4. Push the Image to DockerHub docker push DockerUserName/dockerfilename:latest

Apr 25, 2025 - 18:51

DockerFile Image Creation and Pushing to DockerHub

Whether you're a developer automating deployments or a student getting started with DevOps, learning how to create Docker images and push them to DockerHub is essential. In this post, we’ll walk through:

Writing a simple Dockerfile
Building a Docker image
Tagging the image
Pushing it to DockerHub

Let’s get started!

What is a Dockerfile?

A Dockerfile is a plain text file that contains instructions on how to build a Docker image. Think of it as a recipe — it tells Docker how to build an environment tailored for your application.

Dockerfile


FROM python:3.14.0a7-alpine3.21

# Install required system dependencies
RUN apk add --no-cache build-base musl-dev linux-headers

# Install Python libraries
RUN pip install --upgrade pip && \
    pip install pandas scikit-learn matplotlib

# Copy and run your script
COPY . .
CMD [ "python", "hello_world_ml.py" ]

1. Build the Docker Image

docker build -t DockerUserName/dockerfilename:latest .

2. Run the Docker Image

docker run --rm DockerUserName/dockerfilename:latest

3. List Docker Images

docker image ls

4. Push the Image to DockerHub

docker push DockerUserName/dockerfilename:latest