Supported tags and respective `Dockerfile` links

For more information about this image and its history, please see the relevant manifest file (library/pypy). This image is updated via pull requests to the docker-library/official-images GitHub repo.

For detailed information about the virtual/transfer sizes and individual layers of each of the above supported tags, please see the pypy/tag-details.md file in the docker-library/docs GitHub repo.

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.

wikipedia.org/wiki/PyPy

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.

Supported Docker versions

This image is officially supported on Docker version 1.9.1.

Support for older versions (down to 1.6) is provided on a best-effort basis.

Please see the Docker installation documentation for details on how to upgrade your Docker daemon.

User Feedback

Documentation

Documentation for this image is stored in the pypy/ directory of the docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository's README.md file before attempting a pull request.

Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue.

You can also reach many of the official image maintainers via the #docker-library IRC channel on Freenode.

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 GitHub issue, 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.

README.md 5.3 KB Historie Surový

Supported tags and respective Dockerfile links