Skip to main content
AI
  • Get started with AI

    • Red Hat AI

      Accelerate the development and deployment of enterprise AI solutions.

    • AI learning hub

      Explore learning materials and tools, organized by task.

    • AI interactive demos

      Click through scenarios with Red Hat AI, including training LLMs and more.

    • AI/ML learning paths

      Expand your Red Hat OpenShift AI knowledge using these learning resources.

    • AI quickstarts

      Focused AI use cases designed for fast deployment on Red Hat AI platforms.

    • No-cost AI training

      Foundational Red Hat AI training.

  • Featured resources

    • Red Hat OpenShift AI
    • Open source AI for developers
    • AI product application development
    • Open source-powered AI/ML for hybrid cloud
    • AI and Node.js cheat sheet

Red Hat AI Factory with NVIDIA

Red Hat AI Factory with NVIDIA is a co-engineered, enterprise-grade AI solution for building, deploying, and managing AI at scale across hybrid cloud environments.

Learn
  • Self-guided

    • Documentation

      Find answers, get step-by-step guidance, and learn how to use Red Hat products.

    • Learning paths

      Explore curated walkthroughs for common development tasks.

    • Guided learning

      Receive custom learning paths powered by our AI assistant.

    • See all learning
  • Hands-on

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

    • Interactive labs

      Learn by doing in these hands-on, browser-based experiences.

    • Interactive demos

      Click through product features in these guided tours.

  • Browse by topic

    • AI/ML
    • Automation
    • Java
    • Kubernetes
    • Linux
    • See all topics
  • Training & certifications

    • Courses and exams
    • Certifications
    • Skills assessments
    • Red Hat Academy
    • Learning subscription
    • Explore training
Build
  • Get started

    • Red Hat build of Podman Desktop

      A downloadable, local development hub to experiment with our products and builds.

    • Developer Sandbox

      Spin up Red Hat's products and technologies without setup or configuration.

  • Download products

    • Red Hat Enterprise Linux
    • Red Hat AI
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products
  • Featured

    • Red Hat build of OpenJDK
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat Developer Toolset
  • References

    • E-books
    • Documentation
    • Cheat sheets
    • Architecture center
Community
  • Get involved

    • Events
    • Live AI events
    • Red Hat Summit
    • Red Hat Accelerators
    • Community discussions
  • Follow along

    • Articles & blogs
    • Developer newsletter
    • Videos
    • Github
  • Get help

    • Customer service
    • Customer support
    • Regional contacts
    • Find a partner

Join the Red Hat Developer program

Download Red Hat products and project builds, access support documentation, learning content, and more.

ConsoleDocsSupport Search
New For you

Recommended

We'll recommend resources you may like as you browse. Try these suggestions for now.

  • Product downloads
  • Cheat sheets
  • Red Hat Developer learning portal
  • Developer blog
  • E-books
  • Developer Sandbox
Log in

Get more with a Red Hat Developer account

  • Product downloads
  • Console access
  • Event registration
  • Training & trials
Explore more account benefitsLog in or register

A subscription may be required for some services.

Contact us

How Fedora and tox make Python testing easier

January 17, 2023
Lumír Balhar
Related topics:
Programming languages & frameworksGitOpsPython
Related products:
Red Hat Enterprise Linux

    Python developers love Fedora, and Fedora loves Python. Therefore we—the Python maintenance team in Red Hat—are doing our best to provide you with all the versions of Python as soon as they are available. We even maintain some of them long after upstream developers give up.

    Why is this range of support important? Some Python developers like to stay with an old and stable Python and don't change it until really necessary. Those developers frequently use Red Hat Enterprise Linux or CentOS. On the opposite side of the Gauss bell curve are developers who are always using the newest releases of Python, and even a few hardcore percent using Python pre-release versions.

    It does not really matter which group you fall into because users of your applications or libraries might be doing the exact opposite. And therefore, it's a good idea to test your Python code with more than one Python version.

    The tox tool allows you to run your tests in multiple Python environments with minimal configuration. But tox itself does not contain Python interpreters—and that's where Fedora enters the scene.

    Comprehensive support for Python versions in Fedora

    The following Python interpreters are available in the current stable release of Fedora (release 37). These are all CPython (the main Python implementation):

    • 2.7 (unsupported upstream since January 2021)
    • 3.6 (unsupported upstream since December 2021)
    • 3.7
    • 3.8
    • 3.9
    • 3.10
    • 3.11
    • 3.12 (second alpha release, as of 28th of November 2022)

    Besides CPython, we also support the following versions of PyPy (Python written in Python):

    • pypy (Python 2.7)
    • pypy3.7
    • pypy3.8
    • pypy3.9

    Fast delivery downstream

    That's a lot of Pythons! But if you are a bleeding-edge user, you care about our speed of delivery as well. So let's take the last stable Python 3.11 as an example.

    The first alpha version, released on October 5th, 2021, took us only seven days before the first build of Python 3.11 appeared in the Fedora build system (Koji). Half a year and a couple of alpha releases after that, it took only three days to deliver the first beta release to users of Fedora Linux after the beta was released upstream.

    If you are an early adopter, you probably know that it usually takes a few months before pre-release versions of Python appear in GitHub Actions, Travis CI, or other continuous integration (CI) providers. Fedora is generally much faster than those.

    So in Fedora Linux, we have all you need to test your Python apps and libraries. But what if you are not a user of Fedora? Fedora-python-tox is here to help.

    Going beyond Fedora

    Fedora-python-tox is a container image based on the latest stable Fedora release, maintained by the same team of Python lovers at Fedora. In this container image, we combine all the aforementioned pieces (and some more bells and whistles) with compact packaging and release it on Docker Hub. The container image also contains a script that makes it very easy to use, whether the code you want to test is available on your local machine or in some remote version control repository.

    There is one more important benefit. Suppose you develop applications or libraries for Fedora Linux, Red Hat Enterprise Linux, or others from the RPM family. In that case, you might need some specific RPM packages for your tests to run—for example, some library headers or Python bindings for dnf. The container image is prepared for that, and the only thing it needs is a list of RPM packages to install before the container executes tox. That's it.

    And this is not the end. Last but not least, we provide a GitHub action named tox-github-action, which makes it even easier for you to integrate the solution in this article into your CI solution. If you use GitHub to develop apps or libraries for Fedora, there is no need to run your CI tests on Ubuntu anymore.

    Last updated: March 14, 2023

    Related Posts

    • Basics of Go in Fedora

    • What, no Python in Red Hat Enterprise Linux 8?

    • Argo CD and Tekton: Match made in Kubernetes heaven

    • Building modern CI/CD workflows for serverless applications with Red Hat OpenShift Pipelines and Argo CD, Part 1

    Recent Posts

    • Run Red Hat Enterprise Linux CoreOS on NVIDIA BlueField DPUs

    • Agent harness engineering: Separating model capabilities from enforcement

    • What's new for developers in Red Hat Enterprise Linux 10.3 and 9.9

    • Control multicluster costs with right-sizing in Red Hat Advanced Cluster Management 5

    • Lightbits is now certified for Red Hat OpenStack Services on OpenShift

    What’s up next?

    Getting GitOps e-book card

    Learn how to navigate the complex world of modern container-based software development and distribution with Getting GitOps: A Practical Platform with OpenShift, Argo CD, and Tekton.

    Get the e-book
    Red Hat Developers logo

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer tools
    • Interactive tutorials
    • API catalog

    Quicklinks

    • Learning resources
    • E-books
    • Cheat sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site status dashboard
    • Report a security problem

    Red Hat Developer

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2026 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility
    Ask AI