Hi everyone, I've got problems updating the Kotlin...

# datascience

[Didier Villevalois]

Hi everyone, I've got problems updating the Kotlin Jupyter Kernel. I followed the procedure on its website, i.e.:
``pip install kotlin-jupyter-kernel --upgrade``.

It correctly downloaded and installed the 0.11.0.208 version.

However, everytime I launch jupyter notebook and connect to it with the Kotlin Notebook IDEA plugin I get told that the kernel version (0.1.0-170) is incompatible the kotlin-dataframe version.

If I scroll at the top of the log, I can see that indeed it tries to use the 0.11.0-170 version:

Kernel args: /tmp/kotlin-kernel-config-kernelProcessConnection15069667844898789499.json, -home=/tmp/kernelProcess16547460509079481210, -cp=/tmp/kernelProcess16547460509079481210/lib/kotlin-jupyter-api-0.11.0-170.jar:/tmp...

Deleting the /tmp/kernelProcess* directories changes nothing.

[Didier Villevalois]

Note that it seems to work correctly if I open the notebook directly in the web version of Jupyter.

[Ilya Muradyan]

Now kernel is embedded into plugin so there is no way do update it with pip in plugin. The only way is to update a plugin itself. If after plugin updating version is the same, please use the previous version of dataframe for a while

[Didier Villevalois]

I see. Thanks a lot for you quick answer!

Is there a repository for the dev version of the plugin? I cannot find any newer versions than 223.8214.52 (for IDEA 2022.3.1) on the plugin homepage (cf. https://plugins.jetbrains.com/plugin/16340-kotlin-notebook/versions). It seems there are only nightly builds for 2021 versions of IDEA.

Also, I am not specifying anywhere any version for Kotlin Dataframe. It seems to be selected automatically by the Kotlin Jupyter kernel.

%useLatestDescriptors
%use dataframe, lets-plot

[Ilya Muradyan]

We have Nightly builds, but they are not publicly available. I hope that update for kernel will be present in the next 223.* build

[Ilya Muradyan]

It's actually taken from here:
https://github.com/Kotlin/kotlin-jupyter-libraries/blob/master/dataframe.json

[Ilya Muradyan]

You may try previous stable version of dataframe (released in the end of July, 2022)

%use dataframe(0.8.1)