Official Repository

Last pushed: 2 days ago
Short Description
Python is an interpreted, interactive, object-oriented, open-source programming language.
Full Description

Supported tags and respective Dockerfile links

Shared Tags

Simple Tags

Quick reference

What is Python?

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.

How to use this image

Create a Dockerfile in your Python app project

FROM python:3

WORKDIR /usr/src/app

COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD [ "python", "./" ]

or (if you need to use Python 2):

FROM python:2

WORKDIR /usr/src/app

COPY requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD [ "python", "./" ]

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 python:3 python

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 python:2 python

Image Variants

The python images come in many flavors, each designed for a specific use case.


This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of. This tag is based off of buildpack-deps. buildpack-deps is designed for the average user of docker who has many images on their system. It, by design, has a large number of extremely common Debian packages. This reduces the number of packages that images that derive from it need to install, thus reducing the overall size of all images on your system.


This image does not contain the common packages contained in the default tag and only contains the minimal packages needed to run python. Unless you are working in an environment where only the python image will be deployed and you have space constraints, we highly recommend using the default image of this repository.


This image is based on the popular Alpine Linux project, available in the alpine official image. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.

This variant is highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn't have an issue with this, so this variant is usually a very safe choice. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.

To minimize image size, it's uncommon for additional related tools (such as git or bash) to be included in Alpine-based images. Using this image as a base, add the things you need in your own Dockerfile (see the alpine image description for examples of how to install packages if you are unfamiliar).


This image is based on Windows Server Core (microsoft/windowsservercore). As such, it only works in places which that image does, such as Windows 10 Professional/Enterprise (Anniversary Edition) or Windows Server 2016.

For information about how to get Docker running on Windows, please see the relevant "Quick Start" guide provided by Microsoft:


The ONBUILD image variants are deprecated, and their usage is discouraged. For more details, see docker-library/official-images#2076.

This image feeds your requirements.txt file automatically to pip in order to make building derivative images easier. For most use cases, creating a Dockerfile in the base of your project directory with the line FROM python:onbuild will be enough to create a stand-alone image for your project.

While the onbuild variant is really useful for "getting off the ground running" (zero to Dockerized in a short period of time), it's not recommended for long-term usage within a project due to the lack of control over when the ONBUILD triggers fire (see also docker/docker#5714, docker/docker#8240, docker/docker#11917).

Once you've got a handle on how your project functions within Docker, you'll probably want to adjust your Dockerfile to inherit from a non-onbuild variant and copy the commands from the onbuild variant Dockerfile (moving the ONBUILD lines to the end and removing the ONBUILD keywords) into your own file so that you have tighter control over them and more transparency for yourself and others looking at your Dockerfile as to what it does. This also makes it easier to add additional requirements as time goes on (such as installing more packages before performing the previously-ONBUILD steps).


View license information for Python 2 and Python 3.

Docker Pull Command

Comments (27)
17 days ago

The images under "Simple Tags" don't appear to be available even though they're on the list. Can this be fixed?

a month ago

is there any issue in stretch being default?

2 months ago

docker pull python:latest is pulling down Jessie. Can we update this tag to point to stable instead?

6 months ago

All tags listed on the same line at the top of the README will get you the same image right now.
In the future 2.7-onbuild might give you a newer image since it's not pinned with it's micro version.

This means:
2-onbuild will give you the currently latest 2.x.y image
2.7-onbuild will give you the currently latest 2.7.y image
2.7.13-onbuild will always give you the 2.7.13 image

7 months ago

I don't understand what is differenct between 2 images:
2.7.13-onbuild and 2.7-onbuild.
The Docker files both of them are the same:
FROM python:2.7
... etc

10 months ago

Python 3.6 was released. When can we expect the update for this image from maintainers?

a year ago

I'm trying to upload to my primate pypi from a process without tty, but it's not working.

docker run --rm -i -v $HOME/.pypirc:/root/.pypirc:ro -v $HOME/.pip/pip.conf:/root/.pip/pip.conf:ro my-image-from-python-3.5.2 python sdist upload -r private-pypi

... after sdist ...
running upload
/usr/local/lib/python3.5/ GetPassWarning: Can not control echo on the terminal.
  passwd = fallback_getpass(prompt, stream)
Warning: Password input may be echoed.

how to fix it ?

a year ago

The latest image with 2.7.12 breaks installation of several system packages for two reasons:

docker run -it --rm python:2.7.12 /bin/bash

> apt-get update 
> apt-get install -y lsb-release
> lsb_release
bash: /usr/bin/lsb_release: /usr/bin/python: bad interpreter: No such file or directory

> ls /usr/bin/python
ls: cannot access /usr/bin/python: No such file or directory

of course we can fix it with symlink:

ln -s /usr/local/bin/python /usr/bin/python
> lsb_release
Traceback (most recent call last):
  File "/usr/bin/lsb_release", line 28, in <module>
    import lsb_release
ImportError: No module named lsb_release

Since new python version does not include "/usr/lib/python2.7/dist-packages/" in the sys.path, so cannot be found.

a year ago

there's a bug in the latest 2.7 version

docker pull python:2.7  # official python image
docker run -it --rm python:2.7 bash -c 'apt-get update && apt-get install -y supervisor && supervisord —help'  # install supervisord and get help

Processing triggers for systemd (215-17+deb8u4) ...
bash: /usr/bin/supervisord: /usr/bin/python: bad interpreter: No such file or directory