Docs for pypy

pypy/README-short.txt

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+PyPy is a fast, compliant alternative implementation of the Python language.

pypy/README.md

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+# Supported tags and respective `Dockerfile` links
+
+
+
+For more information about this image and its history, please see the [relevant
+manifest file
+(`library/pypy`)](https://github.com/docker-library/official-images/blob/master/library/pypy)
+in the [`docker-library/official-images` GitHub
+repo](https://github.com/docker-library/official-images).
+
+# 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](https://en.wikipedia.org/wiki/PyPy)
+
+![logo](https://raw.githubusercontent.com/docker-library/docs/master/pypy/logo.png)
+
+# 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](https://bitbucket.org/pypy/pypy/src/c3ff0dd6252b6ba0d230f3624dbb4aab8973a1d0/LICENSE?at=default)
+for software contained in this image.
+
+# Supported Docker versions
+
+This image is officially supported on Docker version 1.4.1.
+
+Support for older versions (down to 1.0) is provided on a best-effort basis.
+
+# User Feedback
+
+## Issues
+
+If you have any problems with or questions about this image, please contact us
+ through a [GitHub issue](https://github.com/docker-library/pypy/issues).
+
+You can also reach many of the official image maintainers via the
+`#docker-library` IRC channel on [Freenode](https://freenode.net).
+
+## 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](https://github.com/docker-library/pypy/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.

pypy/content.md

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+# 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](https://en.wikipedia.org/wiki/PyPy)
+
+%%LOGO%%
+
+# 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

pypy/license.md

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+View [license
+information](https://bitbucket.org/pypy/pypy/src/c3ff0dd6252b6ba0d230f3624dbb4aab8973a1d0/LICENSE?at=default)
+for software contained in this image.