GitHub
github.com › docker › docker-py
GitHub - docker/docker-py: A Python library for the Docker Engine API · GitHub
A Python library for the Docker Engine API. Contribute to docker/docker-py development by creating an account on GitHub.
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Languages Python
Docker
docker-py.readthedocs.io
Docker SDK for Python — Docker SDK for Python 7.1.0 documentation
A Python library for the Docker Engine API.
Installing a new python package for an existing container
Note: after running the command sudo docker compose run web django-admin startproject [DjangoAppName]. the first time, my directory looks like this: Mode LastWriteTime Length Name ---- ------------- ------ ---- d----- 28/05/2024 13:13 [DjangoAppName] d----- 28/05/2024 13:13 data -a---- 28/05/2024 11:46 498 docker-compose.yml -a---- 28/05/2024 11:45 195 Dockerfile -a---- 28/05/2024 13:13 663 manage.py -a---- 28/05/2024 13:13 0 README.md -a---- 28/05/2024 13:34 38 requirements.txt I don't know where the data directory comes from..... Nowhere in my Dockerfile or the docker-compose.yml have a defined the name for this directory. Is this the "image"? If so, how can I rebuild this image after adding the new python package to requirements.txt? More on reddit.com
How To Run Any Python App in Docker with Docker Compose
Honestly I think compose is the wrong tool for beginners. They should start with bare docker commands so they understand what compose is doing in the background and learn this way also to troubleshoot. With all automated from the start makes it hard sometimes to help someone who doesn’t even know the basics. More on reddit.com
How do you use python dependencies in a docker image?
How do I know which python is being used when I call this command That would depend on a few things: The shebang (the first line in the file normally) The PATH variable in the env of the running command What is installed on that container In this case, the ENTRYPOINT as that is non-default Normally I would suggest running something like: docker run -it cytopia/mypy sh However, I tried it and it didn't work for me, because they have configured a custom ENTRYPOINT, instead you can do this: docker run -it --entrypoint '/bin/sh' cytopia/mypy This gives me a shell that I can use to check out the env: /data # echo $PATH /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin /data # which python /usr/bin/python /data # python Python 3.10.9 (main, Dec 10 2022, 13:54:12) [GCC 11.2.1 20220219] on linux Anyway, the files they use to create the image can be found here I think (this one is for 3.10): https://github.com/cytopia/docker-mypy/blob/master/Dockerfiles/Dockerfile.python3.10 and how can I install the required dependencies to this particular python installation so mypy can run properly The normal way to do this would be to create a new DockerFile, which uses the image you want as the FROM and then adds dependencies. The image itself is based on alpine linux (a secure and lightweight focused linux often used for building small images) and so you would want to install stuff using apk I believe: FROM cytopia/mypy RUN apk add py3-pip && pip install numpy For example will create a new image with numpy installed for you I am not sure why I had to install pip... I can see it gets installed in the DockerFile and when I tried to use pip in my container, I got an error that it couldn't be found... Beware, that each time you use RUN, it creates a new layer. If you create a new layer and create a load of cache files on that layer they will make your image very big, you will want to tidy up each layer as you go (but I guess that's something you will learn as you go) You would then be able to run your previous docker run with the new image you have built with the dependencies installed More on reddit.com
Issue with Python Docker SDK
Yeah, I just started seeing this on the CI for one of my projects: https://app.circleci.com/pipelines/github/simplistix/testservices/530/workflows/a5bd922a-beb0-4aa7-9efc-db1c78fa1abf/jobs/3804 Seems like a new thing as of about a day ago :-/ Looks like a bug in docker-py caused by a new release of the requests library: https://github.com/docker/docker-py/issues/3256 pin the requests package to <2.32 should fix it. More on reddit.com
How to use Docker with Python?
To build a Docker image, you need to create a Dockerfile. It is a plain text file with instructions and arguments. When Dockerfile is ready, use docker build command to build a new image. After that, you can create containers and run them (using docker run command) from the image.
djangostars.com
djangostars.com › home › docker tutorial: using docker with python
Python Docker Tutorial: How to Use Docker with Python | Django Stars
What is Docker in Python?
Docker is an open-source tool that automates the deployment of an application inside a software container. When you develop an application, you need to provide your code along with all possible dependencies like libraries, the web server, databases, etc. You may end up in a situation when the application is working on your computer, but won’t even start on the staging server, or the dev or QA’s machine. This challenge can be addressed by isolating the app to make it independent of the system.
djangostars.com
djangostars.com › home › docker tutorial: using docker with python
Python Docker Tutorial: How to Use Docker with Python | Django Stars
What are the best practices of using Docker in Python?
Include only necessary context – use a .dockerignore file (like .gitignore in git). Avoid installing unnecessary packages – it will consume extra disk space. Use cache - add context that changes a lot at the end of Dockerfile to utilize Docker cache effectively. Be careful with volumes - because volumes are persistent, the next container will use data from the volume created by the previous container. Use environment variables (in RUN, EXPOSE, VOLUME) - it will make your Dockerfile more flexible.
djangostars.com
djangostars.com › home › docker tutorial: using docker with python
Python Docker Tutorial: How to Use Docker with Python | Django Stars
Videos
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Docker Python Tutorial #6: Docker Compose Tutorial - how to use ...
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Docker Python Tutorial #2: First Docker Container - YouTube
Django Stars
djangostars.com › home › docker tutorial: using docker with python
Python Docker Tutorial: How to Use Docker with Python | Django Stars
September 11, 2025 - You can install docker-compose via pip: ... In this example, I am going to connect Python and Redis containers. version: '3.6' services: app: build: context: ./app depends_on: - redis environment: - REDIS_HOST=redis ports: - "5000:5000" redis: image: redis:3.2-alpine volumes: - redis_data:/data volumes: redis_data: Go to examples/compose and execute the following command: ... Building app Step 1/9 : FROM python:3.6.3 3.6.3: Pulling from library/python f49cf87b52c1: Pull complete 7b491c575b06: Pull complete b313b08bab3b: Pull complete 51d6678c3f0e: Pull complete 09f35bd58db2: Pull complete 1bda
Docker
docker.com › blog › how-to-dockerize-your-python-applications
How to “Dockerize” Your Python Applications | Docker
If you’re seeking a blueprint for deploying Python apps within Docker containers, look no further! Patrick uses many mechanisms, libraries, and commands that you might leverage yourself while developing applications. He also covers some Docker basics—making it much easier to incorporate Docker without expert knowledge.
Published November 6, 2024
GitHub
github.com › patrickloeber › python-docker-tutorial
GitHub - patrickloeber/python-docker-tutorial: Learn how to dockerize Python scripts and a Python web app · GitHub
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Languages Python 75.3% | Dockerfile 24.7%
PyPI
pypi.org › project › docker
docker · PyPI
» pip install docker
TutorialsPoint
tutorialspoint.com › python-library-api-for-docker
Python Library API for Docker
This comes very handy when you are using a python app such as django or flask and you want to maintain your docker container using the same python script that you use for the application. To use the python library API for docker, you need to install a package called docker−py.
Docker
docker-py.readthedocs.io › en › stable › user_guides › index.html
User guides and tutorials — Docker SDK for Python 7.1.0 documentation
A Python library for the Docker Engine API · Client · Configs · Containers · Images · Networks · Nodes · Plugins · Secrets · Services · Swarm · Volumes · Low-level API · Using TLS · User guides and tutorials · Handling multiplexed streams · Swarm services ·
Docker Hub
hub.docker.com › _ › python
python - Official Image | Docker Hub
FROM python:2 WORKDIR /usr/src/app COPY requirements.txt ./ RUN pip install --no-cache-dir -r requirements.txt COPY .
Generalist Programmer
generalistprogrammer.com › home › tutorials › python packages › docker: python package guide 2025
docker Python Guide [2025] | PyPI Tutorial
November 16, 2025 - Complete docker guide: a python library for the docker engine api. Installation, usage examples, troubleshooting & best practices. Python 3.8++
Docker
docker-py.readthedocs.io › en › stable › containers.html
Containers — Docker SDK for Python 7.1.0 documentation
A Python library for the Docker Engine API · Client · Configs · Containers · Container objects · Images · Networks · Nodes · Plugins · Secrets · Services · Swarm · Volumes · Low-level API · Using TLS · User guides and tutorials · Changelog · Run and manage containers on the server.
Docker
docs.docker.com › guides › python › containerize your app
Containerize your app | Docker Docs
USER appuser # Copy the source code into the container. COPY . . # Expose the port that the application listens on. EXPOSE 8000 # Run the application. CMD ["python3", "-m", "uvicorn", "app:app", "--host=0.0.0.0", "--port=8000"] Hide
Docker
docs.docker.com › guides › python › develop your app
Use containers for Python development
This guide explains how to containerize Python applications using Docker.