s390x/pypy
PyPy is a fast, compliant alternative implementation of the Python language.
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Note: this is the "per-architecture" repository for the s390x
builds of the pypy
official image -- for more information, see "Architectures other than amd64?" in the official images documentation and "An image's source changed in Git, now what?" in the official images FAQ.
Maintained by:
the Docker Community
Where to get help:
the Docker Community Slack, Server Fault, Unix & Linux, or Stack Overflow
Dockerfile
linksWARNING: THIS IMAGE IS NOT SUPPORTED ON THE s390x
ARCHITECTURE
Where to file issues:
https://github.com/docker-library/pypy/issues
Supported architectures: (more info)amd64
, arm64v8
, i386
, windows-amd64
Published image artifact details:
repo-info repo's repos/pypy/
directory (history)
(image metadata, transfer size, etc)
Image updates:
official-images repo's library/pypy
label
official-images repo's library/pypy
file (history)
Source of this description:
docs repo's pypy/
directory (history)
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.
Dockerfile
in your Python app projectFROM s390x/pypy:3
WORKDIR /usr/src/app
COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD [ "pypy3", "./your-daemon-or-script.py" ]
or (if you need to use Python 2):
FROM s390x/pypy:2
WORKDIR /usr/src/app
COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD [ "pypy", "./your-daemon-or-script.py" ]
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
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 s390x/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 s390x/pypy:2 pypy your-daemon-or-script.py
View license information for software contained in this image.
As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).
Some additional license information which was able to be auto-detected might be found in the repo-info
repository's pypy/
directory.
As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.
docker pull s390x/pypy