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Tianon Gravi
2014-09-15 10:49:57 -06:00
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# Tags and `Dockerfile` links
- [`2.7.8`, `2.7`, `2` (*2/Dockerfile*)](https://github.com/docker-library/docker-python/blob/2542eef0945385430d2b5b0899b01ca26bd40ef7/2/Dockerfile)
- [`3.4.1`, `3.4`, `3`, `latest` (*3/Dockerfile*)](https://github.com/docker-library/docker-python/blob/2542eef0945385430d2b5b0899b01ca26bd40ef7/3/Dockerfile)
- [`2.7.8`, `2.7`, `2` (*2/Dockerfile*)](https://github.com/docker-library/python/blob/660bda5ddf057e5cbcd130a75dd4ae935eba4e8d/2/Dockerfile)
- [`2.7.8-onbuild`, `2.7-onbuild`, `2-onbuild` (*2/onbuild/Dockerfile*)](https://github.com/docker-library/python/blob/660bda5ddf057e5cbcd130a75dd4ae935eba4e8d/2/onbuild/Dockerfile)
- [`3.4.1`, `3.4`, `3`, `latest` (*3/Dockerfile*)](https://github.com/docker-library/python/blob/660bda5ddf057e5cbcd130a75dd4ae935eba4e8d/3/Dockerfile)
- [`3.4.1-onbuild`, `3.4-onbuild`, `3-onbuild`, `onbuild` (*3/onbuild/Dockerfile*)](https://github.com/docker-library/python/blob/660bda5ddf057e5cbcd130a75dd4ae935eba4e8d/3/onbuild/Dockerfile)
# What is Python?
Python is a widely used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C. The language provides constructs intended to enable clear programs on both a small and large scale.
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.
> [wikipedia.org/wiki/Python_(programming_language)](https://en.wikipedia.org/wiki/Python_(programming_language))
# How to use this image
## Create a `Dockerfile` in your python app project.
## Create a `Dockerfile` in your Python app project
FROM python:3
COPY . /usr/src/myapp
@@ -25,14 +34,16 @@ or (if you need to use Python 2):
WORKDIR /usr/src/myapp
CMD [ "python", "./your-daemon-or-script.py" ]
Then build and run the docker image.
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.
## Run a single Python script
For many single file projects, it may not be convenient to write a `Dockerfile` for your project. In such cases, you can run a python script by using the python docker image directly.
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 python:3 python your-daemon-or-script.py
@@ -45,16 +56,17 @@ or (again, if you need to use Python 2):
## Issues
If you have any problems with, or questions about this image, please contact us
through a [GitHub issue](https://github.com/docker-library/python/issues) or via the IRC channel
`#docker-library` on [Freenode](https://freenode.net).
through a [GitHub issue](https://github.com/docker-library/python/issues) or via the IRC
channel `#docker-library` 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.
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/python/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.
Before you start to code, we recommend discussing your plans
through a [GitHub issue](https://github.com/docker-library/python/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.