I’m having a fair share of problems with OpenSuse Tumbleweed and python atm.

Coming from Linux Mint and windows.

Installing python-packages with pip was pretty easy.

But I have trouble understanding how to install the following packages on TumbleWeed:

tkCalendar

yaml for Python(311)

When I try to use pip I get prompted to use zypper.

I am stuck at this point. Do I have to use something different than zypper? What is the correct way here?

Help very much appreciated and thank you in advance!

— Update —

**Thanks everyone for the help! **

I could succesfully create a virtual enviroment in my Visualstudio Code and installed the needed libraries. The next step for me would be to create a executable package.

  • lemmyreader@lemmy.ml
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    7 months ago

    An alternative is to use pipx : https://pipx.pypa.io/stable

    Overview: What is pipx?

    pipx is a tool to help you install and run end-user applications written in Python. It’s roughly similar to macOS’s brew, JavaScript’s npx, and Linux’s apt.

    It’s closely related to pip. In fact, it uses pip, but is focused on installing and managing Python packages that can be run from the command line directly as applications. How is it Different from pip?

    pip is a general-purpose package installer for both libraries and apps with no environment isolation. pipx is made specifically for application installation, as it adds isolation yet still makes the apps available in your shell: pipx creates an isolated environment for each application and its associated packages.

    pipx does not ship with pip, but installing it is often an important part of bootstrapping your system.

      • taaz@biglemmowski.win
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        7 months ago

        pipx won’t work for that, it’s a library.

        If you are working on your own project/script, you should use virtualenv for development and install all required libraries there.
        If you need it because some system installed application or part of your system does not work without it then… you are in bad place - pip is python package manager primarily used for general python development (installing depending packages, and in theory also for packaging python projects) but it should never be used as system wide package manager - you will break stuff (especially when used with sudo).

            • James_Ryan@discuss.tchncs.deOP
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              7 months ago

              OK then I have to read about it.

              I am a bit confused because the installation with pip on Linux Mint was no problem and didnt throw any errors. I could use my script in the IDE and from console.

              On Tumbleweed it seems to be a lot different. From the first look I have to activate the virt. env

              Do I have to do this everytime I start the script via console?

              • taaz@biglemmowski.win
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                7 months ago

                Using pip to install packages outside of venv was always a risk, (newer) pip now has this mechanism to really drive the point home that this can break stuff.

                Do I have to do this everytime I start the script via console?

                Yes, one way to get rid of this requirement is to package the script as binary/executable package (add pyproject.toml with some sane defaults and with proper [project.scripts]) and then install the project using pipx - pipx install -e path/to/the/project/, the -e flag stands for editable and is nice to have here as you won’t have to reinstall everytime you change the script.
                What pipx does is that it creates the local virtualenv, installs everything the package declares as needed and adds a special executable script into location like ~/.local/bin/ that first sources the venv and then starts the entry script - keeping everything isolated.

                • James_Ryan@discuss.tchncs.deOP
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                  7 months ago

                  Holy shit!

                  **Thank you very much! **

                  You did help me big time.

                  I’m understanding more and was successfull in installing tkcalendar and pyyaml in a virual Enviroment in VisualStudioCode. For now I can use my script.

        • James_Ryan@discuss.tchncs.deOP
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          7 months ago

          Yes:

          Note: Dependent package 'babel' contains 1 apps
            - pybabel
          
          No apps associated with package tkcalendar. Try again with '--include-deps' to include apps of dependent packages, which are listed above. If you are attempting to install a library, pipx
          should not be used. Consider using pip or a similar tool instead.
          
  • wyrmroot@programming.dev
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    7 months ago

    There’s already some good advice here, especially about virtual environments which might be the most important new concept to learn IMO. But just to let you know - it’s not just you. The most generous view of the Python package situation is that there are a lot of different ways to do it.

    • James_Ryan@discuss.tchncs.deOP
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      7 months ago

      Yea I finally can start my script with a virtual enviroment and tkcalendar installed.

      My switch from windows to linux is rough but I keep learning much new stuff.

  • taaz@biglemmowski.win
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    7 months ago

    https://unix.stackexchange.com/questions/450008/pip-vs-package-manager-for-handling-python-packages
    https://unix.stackexchange.com/questions/734792/difference-between-installing-a-package-with-apt-and-pip

    If you need to install an executable python program, use pipx it will create special environment for the python program so it won’t break anything else in the system but it only works on packages (pipx install some-package) that have entry scripts (so can be called directly, libraries usually do not have that as you use them from other python program).

    In short that error you get that tells you to use zypper is there for an important reason.

  • taladar@sh.itjust.works
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    7 months ago

    Python packaging and stability is a total mess. It has gotten to the point where I just look for alternative tools when I find out something new I found is written in Python.