armel/pypy repository overview

⁠DEPRECATED

The armel⁠ organization is deprecated in favor of the more-specific arm32v5⁠ organization, as per https://github.com/docker-library/official-images#architectures-other-than-amd64⁠. Please adjust your usages accordingly.

⁠Supported tags and respective Dockerfile links

** THESE IMAGES ARE VERY EXPERIMENTAL; THEY ARE PROVIDED ON A BEST-EFFORT BASIS WHILE docker-library/official-images#2289⁠ IS STILL IN-PROGRESS (which is the first step towards proper multiarch images) **

** PLEASE DO NOT USE THEM FOR IMPORTANT THINGS **

This image is built from the source of the official image of the same name (pypy)⁠. Please see that image's description for links to the relevant Dockerfiles.

If you are curious about specifically how this image differs, see the Jenkins Groovy DSL scripts in the tianon/jenkins-groovy GitHub repository⁠, which are responsible for creating the Jenkins jobs which build them.

⁠Quick reference

• Where to get help:
  the Docker Community Forums⁠, the Docker Community Slack⁠, or Stack Overflow⁠

• Where to file issues:
  https://github.com/docker-library/pypy/issues⁠

• Maintained by:
  the Docker Community⁠

• Published image artifact details:
  repo-info repo's repos/pypy/ directory⁠ (history⁠)
  (image metadata, transfer size, etc)

• Image updates:
  official-images PRs with label library/pypy⁠
  official-images repo's library/pypy file⁠ (history⁠)

• Source of this description:
  docs repo's pypy/ directory⁠ (history⁠)

• Supported Docker versions:
  the latest release⁠ (down to 1.6 on a best-effort basis)

⁠What is PyPy?

PyPy is a Python interpreter and just-in-time compiler. PyPy focuses on speed, efficiency and compatibility with the original CPython interpreter.

PyPy started out as a Python interpreter written in the Python language itself. Current PyPy versions are translated from RPython to C code and compiled. The PyPy JIT (short for "Just In Time") compiler is capable of turning Python code into machine code at run time.

⁠How to use this image

⁠Create a Dockerfile in your Python app project

FROM pypy:3-onbuild
CMD [ "pypy3", "./your-daemon-or-script.py" ]

or (if you need to use PyPy 2):

FROM pypy:2-onbuild
CMD [ "pypy", "./your-daemon-or-script.py" ]

These images include multiple ONBUILD triggers, which should be all you need to bootstrap most applications. The build will COPY a requirements.txt file,RUN pip install on said file, and then copy the current directory into/usr/src/app.

You can then build and run the Docker image:

$ 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:

$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp pypy:3 pypy3 your-daemon-or-script.py

or (again, if you need to use Python 2):

$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp pypy:2 pypy your-daemon-or-script.py

⁠License

View license information⁠ for software contained in this image.