This guide is a community contribution. Docker would like to thank Esteban Maya and Igor Aleksandrov for their contribution to this guide. The Python language-specific guide teaches you how to containerize a Python application using Docker.

This tag is based off of buildpack-deps⁠. buildpack-deps is designed for the average user of Docker who has many images on their system. It, by design, has a large number of extremely common Debian packages. This reduces the number of packages that images that derive from it need to install, thus reducing the overall size of all images on your system. This image does not contain the common Debian packages contained in the default tag and only contains the minimal Debian packages needed to run python.

A Python library for the Docker Engine API. It lets you do anything the docker command does, but from within Python apps – run containers, manage containers, manage Swarms, etc. For more information about the Engine API, see its documentation.

November 3, 2021 - Build, run, and verify the functionality of a Django, Flask, or General Python app. Debug the app running in a container. Install Docker on your machine and add it to the system path.

Docker samples for Python.

Define services, volumes, and networks in a compose file, then run docker compose up for a full local stack. ... Pick the smallest image that meets your needs. Use python:3.x-slim for many apps, -alpine when you know it’ll work, and full python:3.x when you need system build tools.

You have installed the latest version of Docker Desktop. You have a Git client. The examples in this section use a command-line based Git client, but you can use any client. This section walks you through containerizing and running a Python application.

A Python library for the Docker Engine API. Contribute to docker/docker-py development by creating an account on GitHub.

ENV PYTHONUNBUFFERED=1 WORKDIR /app # Create a non-privileged user that the app will run under. # See https://docs.docker.com/go/dockerfile-user-best-practices/ ARG UID=10001 RUN adduser \ --disabled-password \ --gecos "" \ --home "/nonexistent" \ --shell "/sbin/nologin" \ --no-create-home \ --uid "${UID}" \ appuser # Download dependencies as a separate step to take advantage of Docker's caching.

Maintainer: Docker Inc. ... A Python library for the Docker Engine API.

List containers. Similar to the docker ps command. ... Filters to be processed on the image list. Available filters: exited (int): Only containers with specified exit code ... A comprehensive list can be found in the documentation for docker ps.

A Python library for the Docker Remote API. It does everything the docker command does, but from within Python – run containers, manage them, pull/push images, etc. The latest stable version is always available on PyPi.

September 11, 2025 - Full guide about uses of Docker with Python. Our team created this tutorial to share the passion and knowledge of Docker enthusiasts.

May 24, 2024 - To generate a Docker image we need to create a Dockerfile which contains instructions needed to build the image. The Dockerfile is then processed by the Docker builder which generates the Docker image.

July 23, 2025 - A Dockerfile is a text file that contains instructions to build a Docker image which is a snapshot of the environment your project needs to run. For Python projects, a Dockerfile typically defines the base Python image, installs dependencies ...

April 19, 2024 - Dockerizing your Python applications is more than just running them in a container. A guide to running Python apps in Docker with full observability and resiliency.

The Python SDK retrieves authentication information from the credentials store file and integrates with credential helpers. It's possible to override these credentials, but that's out of scope for this example guide. After using docker login, the Python SDK uses these credentials automatically.

December 16, 2025 - /app # Install any needed dependencies specified in requirements.txt RUN pip install --no-cache-dir -r requirements.txt # Make port 8080 available to the world outside this container EXPOSE 8080 # Define environment variable ENV NAME World # Run app.py when the container launches CMD ["python", "app.py"]

Step by step guide to writing highly optimized Dockerfiles for Python web app development and deployment.

Create a Dockerfile in your project directory (no extension). # Start with a base Python image: FROM python:3.11-slim # Set environment variables: ENV PYTHONDONTWRITEBYTECODE=1 \ PYTHONUNBUFFERED=1 \ ENVIRONMENT=production \ PYTHON_VERSION=3.11 # Set up the working directory: WORKDIR /app # Install dependencies (this order is important for caching): COPY requirements.txt .