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 to change the meaning of python and python3 on RHEL

September 30, 2025
Tomáš Hrnčiar
Related topics:
LinuxProgramming languages & frameworksPython
Related products:
Red Hat Enterprise Linux

    Historically, administrators of Red Hat Enterprise Linux (RHEL) used the alternatives command to change the system's default python3 interpreter. This method was technically a challenge to support. Because the system Python is deeply integrated into RHEL, changing its version can break critical components. This post explains why alternatives is unsupported in RHEL 9 and later, and offers a safer alternative.

    Python is a vital system component

    Numerous core RHEL components are tightly coupled with the system's version of Python. One prominent example is dnf, the package manager that installs and updates applications. It's a Python application and relies on the Python version it was tested with. An unauthorized change to the system's default Python environment could render a tool like dnf inoperable, effectively crippling your ability to manage software on the system, which could lead to a broken operating system. Other critical tools, from firewall managers to system initializers and printer drivers, also often depend on the default system Python and could fail unexpectedly should the Python version unexpectedly change.

    Even though RHEL 9 was released in 2022, some users still ask how to change what gets executed when the python3 command is issued. For example, a user might want to configure a system to run /usr/bin/python3.11 rather than, for instance, /usr/bin/python3.9 when python3 is called.

    The best solution is to keep the system Python untouched, and instead create a symbolic link that redefines python3 on your system to your desired Python interpreter. This has zero impact on system packages or other users. It's also easy to reverse by simply removing the symbolic link file.

    As root you can do:

    # sudo ln -s /usr/bin/python3.11 /usr/local/bin/python3
    # python3 --version
    Python 3.11.11
    # ls -la /usr/local/bin/python*
    lrwxrwxrwx. 1 root root 19 Jun 23 09:06 /usr/local/bin/python3 -> /usr/bin/python3.11
    # echo $PATH
    /root/.local/bin:/root/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin

    When the symbolic link is created by root, it is also available for other users and services on the system.

    As a regular user:

    $ ln -s /usr/bin/python3.11 ~/.local/bin/python3
    $ python3 --version
    Python 3.11.11
    $ ls -laG ~/.local/bin/python3
    lrwxrwxrwx. 1 tux 19 Jun 24 05:41 /home/tux/.local/bin/python3 -> /usr/bin/python3.11
    $ echo $PATH
    /home/tux/.local/bin:/home/tux/bin:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin

    You can safely do the same with the python command.

    Both /usr/local/bin/ and ~/.local/bin/ are part of the default PATH environment variable, so the python3 command will always use a symbolic link defined there.

    Use env in scripts for portability

    In your scripts, you can use #!/usr/bin/env python3 instead of hard-coding the path #!/usr/bin/python3. This ensures improved script portability.

    Different systems (or even different users on the same system) might have the same program installed in different locations. For example:

    • On a standard Linux system, Python might be in /usr/bin/python3
    • A user might have a new version installed in a different location.
    • A developer might use a virtual environment (venv), which puts a python3 executable in a project-specific bin directory and prepends that to the PATH.

    A script with a hard-coded path like #!/usr/bin/python3 uses the system Python in all but the first case.

    A script starting with #!/usr/bin/env python3 handles all these scenarios. It also respects the user's configured environment. When a developer has intentionally placed a specific version of Python first in their PATH, env finds it and uses that version. This allows users to control which interpreter runs a script without modifying the script itself.

    The art of managing interpreters

    Your Linux system can help you manage the version of Python and other popular programming languages and interpreters. Should you wish to override the default settings, there are tools built into Linux to let you do that in a safe and portable way. Use env in your scripts, venv while developing Python applications, maintain your PATH, and use symlinks for targeted overrides.

    Related Posts

    • How to install multiple versions of Python on Red Hat Enterprise Linux

    • Making memcpy(NULL, NULL, 0) well-defined

    • How to deploy a Flask application in Python with Gunicorn

    • A beginner's guide to Python containers

    • How to use a Python multiprocessing module

    • How to manage Python dependencies in Ansible execution environments

    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?

    Whether you're deploying to the cloud, managing systems, or working with containers, the Red Hat Enterprise Linux 10 cheat sheet provides the key information you need for executing essential commands, image building, and system management.

    Get the cheat sheet
    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