Uninstall python 2.4

For the pip2 and pip3 commands, only the first pip should be replaced with pip2 or pip3. If you add the --yes or -y option to the pip uninstall command, the confirmation is omitted.

If you see such a message, you should install the corresponding package with pip install or update it with pip install -U. Home - pip documentation v Install pip pip and pip2, pip3 Details of installed package: pip show List of installed packages: pip list , pip freeze Install a package: pip install Install from local or GitHub Update a package: pip install --upgrade Update pip itself Uninstall a package: pip uninstall Check for dependencies: pip check Sponsored Link.

You are using pip version You should consider upgrading via the 'pip install --upgrade pip' command. Python pip. Counter in Python Extract, replace, convert elements of a list in Python. X folders there was no Tensorflow mentioned. In case you created virtual environment then activate it.

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New post summary designs on greatest hits now, everywhere else eventually. How should I approach this problem? Improve this question. Community Bot 1. Rob Rob 3 3 gold badges 8 8 silver badges 23 23 bronze badges. Add a comment. Active Oldest Votes. Probably what I'd do is first find all the easily identifiable python packages: rpm -qa grep python Then erase them using rpm --erase pkg You CAN override the dependency checks by including the --nodeps flag after the --erase flag on the rpm command line.

Then with all the packages downloaded from what ever source you have you then do: rpm --install pkg But you can override this behavior using the: --nodeps --force flags after the --install flag. Again, not always recommended but sometimes necessary. But I think you're brilliant in answering - and in English! The old pip3 version that was installed with apt is the newest in apt repos. I uninstalled pip3 also with "sudo apt remove python3-pip" and reinstalled it with "sudo apt install python3-pip".

I got the same version again: Maybe the advice here is poor: linuxize. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Podcast Making Agile work for data science. Stack Gives Back Featured on Meta.