bitnami-docker-python-snapshot
Bitnami Docker Image for Python using snapshots for the system packages repositories
Why use Bitnami Images?
- Bitnami closely tracks upstream source changes and promptly publishes new versions of this image using our automated systems.
- With Bitnami images the latest bug fixes and features are available as soon as possible.
- Bitnami containers, virtual machines and cloud images use the same components and configuration approach - making it easy to switch between formats based on your project needs.
- All our images are based on minideb a minimalist Debian based container image which gives you a small base container image and the familiarity of a leading Linux distribution.
- All Bitnami images available in Docker Hub are signed with Docker Content Trust (DCT). You can use
DOCKER_CONTENT_TRUST=1
to verify the integrity of the images. - Bitnami container images are released daily with the latest distribution packages available.
This CVE scan report contains a security report with all open CVEs. To get the list of actionable security issues, find the "latest" tag, click the vulnerability report link under the corresponding "Security scan" field and then select the "Only show fixable" filter on the next page.
What are prod
tagged containers for?
Containers tagged prod
are production containers based on minideb. They contain the minimal dependencies required by an application to work.
They don't include development dependencies, so they are commonly used in multi-stage builds as the target image. Application code and dependencies should be copied from a different container.
The resultant containers only contain the necessary pieces of software to run the application. Therefore, they are smaller and safer.
Learn how to use multi-stage builds to build your production application container in the example directory
Get this image
The recommended way to get the Bitnami Python Docker Image is to pull the prebuilt image from the Docker Hub Registry.
$ docker pull bitnami/python-snapshot:latest
To use a specific version, you can pull a versioned tag. You can view the list of available versions in the Docker Hub Registry.
$ docker pull bitnami/python-snapshot:[TAG]
If you wish, you can also build the image yourself.
$ docker build -t bitnami/python-snapshot 'https://github.com/bitnami/bitnami-docker-python-snapshot.git#master:3.7/debian-10'
Entering the REPL
By default, running this image will drop you into the Python REPL, where you can interactively test and try things out in Python.
$ docker run -it --name python bitnami/python-snapshot
Configuration
Running your Python script
The default work directory for the Python image is /app
. You can mount a folder from your host here that includes your Python script, and run it normally using the python
command.
$ docker run -it --name python -v /path/to/app:/app bitnami/python-snapshot \
python script.py
Running a Python app with package dependencies
If your Python app has a requirements.txt
defining your app's dependencies, you can install the dependencies before running your app.
$ docker run --rm -v /path/to/app:/app bitnami/python-snapshot pip install -r requirements.txt
$ docker run -it --name python -v /path/to/app:/app bitnami/python-snapshot python script.py
or using Docker Compose:
python:
image: bitnami/python-snapshot:latest
command: "sh -c 'pip install -r requirements.txt && python script.py'"
volumes:
- .:/app
Further Reading:
Maintenance
Upgrade this image
Bitnami provides up-to-date versions of Python, including security patches, soon after they are made upstream. We recommend that you follow these steps to upgrade your container.
Step 1: Get the updated image
$ docker pull bitnami/python-snapshot:latest
or if you're using Docker Compose, update the value of the image property to bitnami/python-snapshot:latest
.
Step 2: Remove the currently running container
$ docker rm -v python
or using Docker Compose:
$ docker-compose rm -v python
Step 3: Run the new image
Re-create your container from the new image.
$ docker run --name python bitnami/python-snapshot:latest
or using Docker Compose:
$ docker-compose up python