python

arm64v8/python Docker Image

Python是一种解释型、交互式、面向对象的开源编程语言,它以简洁易读的语法为核心设计理念,支持函数式、命令式等多种编程范式,广泛应用于数据科学、人工智能、Web开发、自动化脚本编写等众多领域,既适合编程初学者快速掌握基础编程逻辑,也能满足专业开发者构建大型复杂系统的需求,凭借丰富的第三方库和活跃的全球社区支持,已成为当前最受欢迎的通用编程语言之一。

53 次收藏下载次数: 0状态:社区镜像维护者:arm64v8仓库类型:镜像最近更新:2 天前
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Note: this is the "per-architecture" repository for the arm64v8 builds of https://hub.docker.com/_/python -- for more information, see https://github.com/docker-library/official-images#architectures-other-than-amd64 and https://github.com/docker-library/faq#an-images-source-changed-in-git-now-what.

Quick reference

  • Maintained by:
    https://github.com/docker-library/python

  • Where to get help:
    https://dockr.ly/comm-slack, Server Fault, https://unix.stackexchange.com/help/on-topic, or https://stackoverflow.com/help/on-topic

Supported tags and respective Dockerfile links

(See https://github.com/docker-library/faq#whats-the-difference-between-shared-and-simple-tags.)

Simple Tags

  • https://github.com/docker-library/python/blob/496ece1bae***d73efab7ac8cf265fcb855fa/3.15-rc/trixie/Dockerfile

  • https://github.com/docker-library/python/blob/496ece1bae***d73efab7ac8cf265fcb855fa/3.15-rc/slim-trixie/Dockerfile

  • https://github.com/docker-library/python/blob/496ece1bae***d73efab7ac8cf265fcb855fa/3.15-rc/bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/496ece1bae***d73efab7ac8cf265fcb855fa/3.15-rc/slim-bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/496ece1bae***d73efab7ac8cf265fcb855fa/3.15-rc/alpine3.24/Dockerfile

  • https://github.com/docker-library/python/blob/496ece1bae***d73efab7ac8cf265fcb855fa/3.15-rc/alpine3.23/Dockerfile

  • https://github.com/docker-library/python/blob/7cc547b3ff8d45d540cd23144227af126a79d60c/3.14/trixie/Dockerfile

  • https://github.com/docker-library/python/blob/7cc547b3ff8d45d540cd23144227af126a79d60c/3.14/slim-trixie/Dockerfile

  • https://github.com/docker-library/python/blob/7cc547b3ff8d45d540cd23144227af126a79d60c/3.14/bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/7cc547b3ff8d45d540cd23144227af126a79d60c/3.14/slim-bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/7cc547b3ff8d45d540cd23144227af126a79d60c/3.14/alpine3.24/Dockerfile

  • https://github.com/docker-library/python/blob/7cc547b3ff8d45d540cd23144227af126a79d60c/3.14/alpine3.23/Dockerfile

  • https://github.com/docker-library/python/blob/d2a898cb88e46203577eabc62cdcf6e92aaee176/3.13/trixie/Dockerfile

  • https://github.com/docker-library/python/blob/d2a898cb88e46203577eabc62cdcf6e92aaee176/3.13/slim-trixie/Dockerfile

  • https://github.com/docker-library/python/blob/d2a898cb88e46203577eabc62cdcf6e92aaee176/3.13/bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/d2a898cb88e46203577eabc62cdcf6e92aaee176/3.13/slim-bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/d2a898cb88e46203577eabc62cdcf6e92aaee176/3.13/alpine3.24/Dockerfile

  • https://github.com/docker-library/python/blob/d2a898cb88e46203577eabc62cdcf6e92aaee176/3.13/alpine3.23/Dockerfile

  • https://github.com/docker-library/python/blob/2a3b794c223ab067d***cdd54a068732a5/3.12/trixie/Dockerfile

  • https://github.com/docker-library/python/blob/2a3b794c223ab067d***cdd54a068732a5/3.12/slim-trixie/Dockerfile

  • https://github.com/docker-library/python/blob/2a3b794c223ab067d***cdd54a068732a5/3.12/bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/2a3b794c223ab067d***cdd54a068732a5/3.12/slim-bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/2a3b794c223ab067d***cdd54a068732a5/3.12/alpine3.24/Dockerfile

  • https://github.com/docker-library/python/blob/2a3b794c223ab067d***cdd54a068732a5/3.12/alpine3.23/Dockerfile

  • https://github.com/docker-library/python/blob/cede844ace77284e32c03b61ebc35cdfc945e862/3.11/trixie/Dockerfile

  • https://github.com/docker-library/python/blob/cede844ace77284e32c03b61ebc35cdfc945e862/3.11/slim-trixie/Dockerfile

  • https://github.com/docker-library/python/blob/cede844ace77284e32c03b61ebc35cdfc945e862/3.11/bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/cede844ace77284e32c03b61ebc35cdfc945e862/3.11/slim-bookworm/Dockerfile

  • https://github.com/docker-library/python/blob/cede844ace77284e32c03b61ebc35cdfc945e862/3.11/alpine3.24/Dockerfile

  • https://github.com/docker-library/python/blob/cede844ace77284e32c03b61ebc35cdfc945e862/3.11/alpine3.23/Dockerfile

Shared Tags

  • 3.15.0rc3, 3.15-rc:

    • https://github.com/docker-library/python/blob/496ece1bae***d73efab7ac8cf265fcb855fa/3.15-rc/trixie/Dockerfile
  • 3.14.8, 3.14, 3, latest:

    • https://github.com/docker-library/python/blob/7cc547b3ff8d45d540cd23144227af126a79d60c/3.14/trixie/Dockerfile
  • 3.13.16, 3.13:

    • https://github.com/docker-library/python/blob/d2a898cb88e46203577eabc62cdcf6e92aaee176/3.13/trixie/Dockerfile
  • 3.12.15, 3.12:

    • https://github.com/docker-library/python/blob/2a3b794c223ab067d***cdd54a068732a5/3.12/trixie/Dockerfile
  • 3.11.17, 3.11:

    • https://github.com/docker-library/python/blob/cede844ace77284e32c03b61ebc35cdfc945e862/3.11/trixie/Dockerfile

Quick reference (cont.)

  • Where to file issues:
    https://github.com/docker-library/python/issues?q=is:issue+is:pr

  • Supported architectures: (https://github.com/docker-library/official-images#architectures-other-than-amd64)
    https://hub.docker.com/r/amd64/python/, https://hub.docker.com/r/arm32v5/python/, https://hub.docker.com/r/arm32v6/python/, https://hub.docker.com/r/arm32v7/python/, https://hub.docker.com/r/arm64v8/python/, https://hub.docker.com/r/i386/python/, https://hub.docker.com/r/ppc64le/python/, https://hub.docker.com/r/riscv64/python/, https://hub.docker.com/r/s390x/python/, https://hub.docker.com/r/winamd64/python/

  • Published image artifact details:
    https://github.com/docker-library/repo-info/blob/master/repos/python (https://github.com/docker-library/repo-info/commits/master/repos/python)
    (image metadata, transfer size, etc)

  • Image updates:
    https://github.com/docker-library/official-images/issues?q=label%3Alibrary%2Fpython
    https://github.com/docker-library/official-images/blob/master/library/python (https://github.com/docker-library/official-images/commits/master/library/python)

  • Source of this description:
    https://github.com/docker-library/docs/tree/master/python (https://github.com/docker-library/docs/commits/master/python)

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.

***.org/wiki/Python_(programming_language)

How to use this image

Create a Dockerfile in your Python app project

dockerfile
FROM arm64v8/python:3

WORKDIR /usr/src/app

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

COPY . .

CMD [ "python", "./your-daemon-or-script.py" ]

or (if you need to use Python 2):

dockerfile
FROM arm64v8/python:2

WORKDIR /usr/src/app

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

COPY . .

CMD [ "python", "./your-daemon-or-script.py" ]

You can then build and run the Docker image:

console
$ 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:

console
$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp arm64v8/python:3 python your-daemon-or-script.py

or (again, if you need to use Python 2):

console
$ docker run -it --rm --name my-running-script -v "$PWD":/usr/src/myapp -w /usr/src/myapp arm64v8/python:2 python your-daemon-or-script.py

Multiple Python versions in the image

In the non-slim variants there will be an additional (distro-provided) python executable at /usr/bin/python (and/or /usr/bin/python3) while the desired image-provided /usr/local/bin/python is the default choice in the $PATH. This is an unfortunate side-effect of using the buildpack-deps image in the non-slim variants (and many distribution-provided tools being written against and likely to break with a different Python installation, so we can't safely remove/overwrite it).

Image Variants

The arm64v8/python images come in many flavors, each designed for a specific use case.

arm64v8/python:<version>

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.

Some of these tags may have names like bookworm or trixie in them. These are the suite code names for releases of https://wiki.debian.org/DebianReleases and indicate which release the image is based on. If your image needs to install any additional packages beyond what comes with the image, you'll likely want to specify one of these explicitly to minimize breakage when there are new releases of Debian.

This tag is based off of https://hub.docker.com/_/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.

arm64v8/python:<version>-slim

This image does not contain the common Debian packages contained in the default tag and only contains the minimal Debian packages needed to run arm64v8/python. Unless you are working in an environment where only the arm64v8/python image will be deployed and you have space constraints, we highly recommend using the default image of this repository.

When using this image pip install will work if a suitable built distribution is available for the Python distribution package being installed. pip install may fail when installing a Python distribution package from a source distribution. This image does not contain the Debian packages required to compile extension modules written in other languages. Possible solutions if a pip install fails include:

  • Use this image and install any required Debian packages before running pip install.
  • Use the default image of this repository. The default image contains the most commonly required Debian packages. The majority of arbitrary pip installs should be successful without additional header/development Debian packages.

arm64v8/python:<version>-alpine

This image is based on the popular [***] available in https://hub.docker.com/_/alpine. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.

This variant is useful when final image size being as small as possible is your primary concern. The main caveat to note is that it does use https://musl.libc.org instead of https://www.etalabs.net/compare_libcs.html, so software will often run into issues depending on the depth of their libc requirements/assumptions. 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 https://hub.docker.com/_/alpine/ for examples of how to install packages if you are unfamiliar).

License

View license information for https://docs.python.org/2/license.html and https://docs.python.org/3/license.html.

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 https://github.com/docker-library/repo-info/tree/master/repos/python.

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.

镜像拉取方式

您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。

轩辕镜像加速拉取命令点我查看更多 python 镜像标签

docker pull docker.xuanyuan.run/arm64v8/python:<标签>

DockerHub 原生拉取命令

docker pull arm64v8/python:<标签>
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