balenalib/surface-go-debian-python

⚠️ DEPRECATED

This base image is deprecated and will no longer receive updates. Read the announcement post for migration guidance and suggested alternatives.

This image is part of the balena.io base image series for IoT devices. The image is optimized for use with balena.io and balenaOS, but can be used in any Docker environment running on the appropriate architecture.

!balenalogo.

Some notable features in balenalib base images:

• Helpful package installer script called install_packages that abstracts away the specifics of the underlying package managers. It will install the named packages with smallest number of dependencies (ignore optional dependencies), clean up the package manager medata and retry if package install fails.

• Working with dynamically plugged devices: each balenalib base image has a default ENTRYPOINT which is defined as ENTRYPOINT ["/usr/bin/entry.sh"], it checks if the UDEV flag is set to true or not (by adding ENV UDEV=1) and if true, it will start udevd daemon and the relevant device nodes in the container /dev will appear.

For more details, please check the features overview in our documentation.

Image Variants

The balenalib images come in many flavors, each designed for a specific use case.

:<version> or :<version>-run

This is the defacto image. The run variant is designed to be a slim and minimal variant with only runtime essentials packaged into it.

:<version>-build

The build variant is a heavier image that includes many of the tools required for building from source. This reduces the number of packages that you will need to manually install in your Dockerfile, thus reducing the overall size of all images on your system.

How to use this image with Balena

This guide can help you get started with using this base image with balena, there are also some cool example projects that will give you an idea what can be done with balena.

What is Python?

Python is an interpreted, interactive, object-oriented, open-source programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. Python combines remarkable power with very clear syntax. It has interfaces to many system calls and libraries, as well as to various window systems, and is extensible in C or C++. It is also usable as an extension language for applications that need a programmable interface. Finally, Python is portable: it runs on many Unix variants, on the Mac, and on Windows 2000 and later.

***.org/wiki/Python_(programming_language)

!https://raw.githubusercontent.com/docker-library/docs/01c***b2fe592c1f93a13b4e289ada0e3a1/python/logo.png.

Supported versions and respective Dockerfile links :

https://github.com/balena-io-library/base-images/tree/master/balena-base-images/python/surface-go/debian/

For more information about this image and its history, please see the https://github.com/balena-io-library/official-images/blob/master/library/surface-go-debian-python in the https://github.com/balena-io-library/official-images.

How to use this image

Create a Dockerfile in your Python app project

dockerfile
FROM balenalib/surface-go-debian-python:latest

WORKDIR /usr/src/app

COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD [ "python", "./your-daemon-or-script.py" ]

You can then build and run the Docker image:

console
$ 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:

console
$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp balenalib/surface-go-debian-python:latest python your-daemon-or-script.py

User Feedback

Issues

If you have any problems with or questions about this image, please contact us through a https://github.com/balena-io-library/base-images/issues.

Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a https://github.com/balena-io-library/base-images/issues, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.

Documentation

Documentation for this image is stored in the base images documentation. Check it out for list of all of our base images including many specialised ones for e.g. node, python, go, smaller images, etc.

You can also find more details about new features in balenalib base images in this blog post