![]() For unreleased (in development) documentation, see In Development Versions. Using a different version of Python Updating or upgrading Python Conda treats Python the same as any other package, so it is easy to manage and update multiple installations. And finally if python3 is executed then the chosen version is 3.8. Use the list below to select a version to view. ![]() If python2 is executed then the chosen version is 2.7. Check the Python Version on Windows On your Windows PC where you’ve installed Python, use the PC’s built-in PowerShell utility to check the version number. If you want to create virtual environments using your new installed Python version, you must first install the virtualenv program. Which means, if python is executed without specifying any version, python3 will be the chosen version. You will see 3 important links: python python2 and python3 that tell you the versions that your operative system uses.įor example, in my Ubuntu I have python -> python3 These are links in the /usr/bin directory. You can see that by means of the "python links". Now, which of all python versions uses my Ubuntu?.But I have also experienced problems trying to run python3.5 software with python3.8. The best example is the incompatibility of python2 and python3 software. The reason was given by If we remove another version of python, we could break all software depending on that version, i.e., we may not be able to run it with the new version. Why can we only install parallel versions instead of updating?.In that way, both versions 3.8 and 3.9 would be installed in your Ubuntu.įor instance, in your case, if you do as says sudo apt-get install python3.8, you would not update python2.7 to python3.8, but you would have both python versions installed 2.7 and 3.8. That is, although, you can update python3.8 from your current version (let's say 3.8.2) into the highest available at repository (let's say 3.8.5) by the standard sudo apt-get update, you cannot update from python3.8 to python3.9, neither from python2.7 into python 3.5: you must install the new version parallel to the first one. ![]()
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