Dockerfile examples for the blog post "How to Dockerize Python Data Science Processes" on rotational.io

.dockerignore

# Ignore docker specific files
.dockerignore
docker-compose.yml
Dockerfile

# Ignore git directory and files
.gitignore
.git

# Ignore text files at the root of the project (optional)
LICENSE
README.md
DESCRIPTION.md
CONTRIBUTING.md
SECURITY.txt

# Ignore local environment and secrets
.python-version
.env
.env.template
.secret

docker-compose.yml

version: "3"

services:
  app:
    build:
      context: .
    volumes:
      - .:/home/myuser/app
    command: >
      sh -c "python3 main.py"

Dockerfile

FROM python:3.11-slim

# Do not prompt during apt-get commands
ARG DEBIAN_FRONTEND=noninteractive

# Ensure output to stdout and stderr are written to the terminal without a buffer
ENV PYTHONUNBUFFERED 1

# Add library dependencies for compiling data science python packages
RUN apt-get update && \\
    apt-get install --no-install-recommends -y gcc libc-dev build-essential python3-dev

# Create a user so that we don't run as root
RUN groupadd -r myuser && useradd -m -r -g myuser myuser
USER myuser

# Set the working directory where Python code will be stored
RUN mkdir /home/myuser/app
WORKDIR /home/myuser/app

# Install Python dependencies
COPY ./requirements.txt /requirements.txt
RUN pip3 install -r /requirements.txt

# Switch back to root to clean up after the build process
USER root
RUN apt-get clean autoclean && apt-get autoremove --yes && \\
    rm -rf /var/lib/apt/lists/*

# Switch back to non-root user and copy Python code
USER myuser
COPY ./ ./

# Default command is a python3 interpreter
CMD ["python3"]