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MINICONDA UBUNTU PYTHON 3.6 SOFTWARE
MINICONDA UBUNTU PYTHON 3.6 SERIES

Previous versions of this article covered CentOS, but CentOS is no longer a long-term stable operating system.Ubuntu and RHEL have backported newer versions of Python, so even though they are older than Debian 11 they still include Python 3.9. There are three major operating systems that roughly meet the above criteria: Debian “Bullseye” 11, Ubuntu 20.04 LTS, and RedHat Enterprise Linux 8. Option #1: Ubuntu LTS, RedHat Universal Base Image, Debian You can see the linked article for details, but I recommend against using Alpine. Why you shouldn’t use Alpine LinuxĪ common suggestion for people who want small images is to use Alpine Linux, but that can lead to longer build times, obscure bugs, and performance issues. The need for stability suggests not using operating systems with limited support lifetime, like Fedora or non-LTS Ubuntu releases. Small images: All things being equal, it’s better to have a smaller Docker image than a bigger Docker image.Up-to-date Python: While this can be worked around by installing Python yourself, having an up-to-date Python available saves you some effort.Extensive dependencies: For some applications less popular dependencies may be required-a base image with access to a large number of libraries makes this easier.Up-to-date dependencies: Unless you’re building a very simple application, you will likely depend on operating system-installed libraries and applications (e.g.

Security updates: You want the base image to be well-maintained, so that you get security updates for the base operating system in a timely manner.

Stability: You want a build today to give you the same basic set of libraries, directory structure, and infrastructure as a build tomorrow, otherwise your application will randomly break.

There are a number of common criteria for choosing a base image, though your particular situation might emphasize, add, or remove some of these:

MINICONDA UBUNTU PYTHON 3.6 SOFTWARE

Make sure your production software is packaged securely, efficiently, and quickly: Read the pragmatic, thorough, and concise Python on Docker Production Handbook. Note: Outside any specific best practice being demonstrated, the Dockerfiles in this article are not examples of best practices, since the added complexity would obscure the main point of the article.

MINICONDA UBUNTU PYTHON 3.6 SERIES

Docker has a series of “official” Docker base images based on various Linux distributions, and also base images that package specific programming languages, in particular Python.