Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/coatl-dev/docker-python
🐳 Docker image packaging for Python
https://github.com/coatl-dev/docker-python
Last synced: about 2 months ago
JSON representation
🐳 Docker image packaging for Python
- Host: GitHub
- URL: https://github.com/coatl-dev/docker-python
- Owner: coatl-dev
- License: mit
- Created: 2024-10-01T02:23:34.000Z (3 months ago)
- Default Branch: coatl
- Last Pushed: 2024-11-05T21:38:19.000Z (about 2 months ago)
- Last Synced: 2024-11-05T22:32:53.714Z (about 2 months ago)
- Language: Dockerfile
- Homepage: https://hub.docker.com/r/coatldev/python
- Size: 42 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# coatl.dev Python Docker images
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/coatl-dev/docker-python/coatl.svg)](https://results.pre-commit.ci/latest/github/coatl-dev/docker-python/coatl)
![Docker Pulls](https://img.shields.io/docker/pulls/coatldev/python)## Supported tags and respective `Dockerfile` links
- [`3`, `3.13`, `3.13.0`]
- [`3-slim`, `3.13-slim`, `3.13.0-slim`]
- [`3.12`, `3.12.7`]
- [`3.12-slim`, `3.12.7-slim`]
- [`2`, `2.7`, `2.7.18`]
- [`2-slim`, `2.7-slim`, `2.7.18-slim`]## Supported architectures
- amd64
- arm64## How to use this image
### Create a `Dockerfile` in your Python app project
```dockerfile
FROM coatldev/python:3WORKDIR /usr/src/app
COPY requirements.txt ./
RUN python -m pip install -r requirements.txtCOPY . .
CMD [ "python", "./your-daemon-or-script.py" ]
```or (if you need to use Python 2):
```dockerfile
FROM coatldev/python:2WORKDIR /usr/src/app
COPY requirements.txt ./
RUN python -m pip install -r requirements.txtCOPY . .
CMD [ "python", "./your-daemon-or-script.py" ]
```You can then build and run the Docker image:
```sh
docker build -t my-python-app .
docker run -it --rm --name my-running-app my-python-app
```### Run a single Python script
For many simple, single file projects, you may find it inconvenient to write a
complete `Dockerfile`. In such cases, you can run a Python script by using the
Python Docker image directly:```sh
docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp coatldev/python:3 python your-daemon-or-script.py
```or (again, if you need to use Python 2):
```sh
docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp coatldev/python:2 python your-daemon-or-script.py
```### Multiple Python versions in the image
In the non-slim variants there will be an additional (distro-provided) `python`
executable at `/usr/bin/python` (and/or `/usr/bin/python3`) while the desired
image-provided `/usr/local/bin/python` is the default choice in the `$PATH`.
This is an unfortunate side-effect of using the `buildpack-deps` image in the
non-slim variants (and many distribution-provided tools being written against
and likely to break with a different Python installation, so we can't safely
remove/overwrite it).## Image Variants
The python images come in many flavors, each designed for a specific use case.
### `python:`
This is the defacto image. If you are unsure about what your needs are, you
probably want to use this one. It is designed to be used both as a throw away
container (mount your source code and start the container to start your app), as
well as the base to build other images.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.### `python:-slim`
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`. Unless
you are working in an environment where _only_ the `python` image will be deployed
and you have space constraints, we highly recommend using the default image of
this repository.When using this image `pip install` will work if a suitable built distribution
is available for the Python distribution package being installed. `pip install`
may fail when installing a Python distribution package from a source
distribution. This image does not contain the Debian packages required to
compile extension modules written in other languages. Possible solutions if a
`pip install` fails include:- Use this image and install any required Debian packages before running
`pip install`.
- Use the default image of this repository. The default image contains the most
commonly required Debian packages. The majority of arbitrary `pip install`s
should be successful without additional header/development Debian packages.[`2`, `2.7`, `2.7.18`]: https://github.com/coatl-dev/docker-python/blob/coatl/2.7/bookworm/Dockerfile
[`2-slim`, `2.7-slim`, `2.7.18-slim`]: https://github.com/coatl-dev/docker-python/blob/coatl/2.7/slim-bookworm/Dockerfile
[`3.12`, `3.12.7`]: https://github.com/coatl-dev/docker-python/blob/coatl/3.12/bookworm/Dockerfile
[`3.12-slim`, `3.12.7-slim`]: https://github.com/coatl-dev/docker-python/blob/coatl/3.12/slim-bookworm/Dockerfile
[`3`, `3.13`, `3.13.0`]: https://github.com/coatl-dev/docker-python/blob/coatl/3.13/bookworm/Dockerfile
[`3-slim`, `3.13-slim`, `3.13.0-slim`]: https://github.com/coatl-dev/docker-python/blob/coatl/3.13/slim-bookworm/Dockerfile