Updatingĭepending on the platform you're using, updating the Kotlin Jupyter kernel can be done in the following ways: Datalore This script replaces kernel specs to the "user" path where they are always detected.ĭon't forget to re-run this script on the kernel update. To install the package, try running post-install fixup script: python -m kotlin_kernel fix-kernelspec-location Python environments and installation modes. There could be a problem with kernel spec detection because of different Looks for the kernel specs files only in predefined places. To install to some other location use option -PinstallPath=, but note that Jupyter Uninstall: pip uninstall kotlin-jupyter-kernel From sources git clone -recurse-submodules ĭefault installation path is ~/.ipython/kernels/kotlin/. Pip install -i kotlin-jupyter-kernel ( package home) Pip install kotlin-jupyter-kernel ( package home) You can also install this package through pip: Uninstall: conda remove kotlin-jupyter-kernel Pip
To install conda package from the dev channel:Ĭonda install -c jetbrains-dev kotlin-jupyter-kernel ( package home) If you have conda installed, just run the following command to install stable package version:Ĭonda install -c jetbrains kotlin-jupyter-kernel ( package home)
There are three ways to install the kernel: Conda To start using Kotlin kernel for Jupyter take a look at introductory guide.Įxample notebooks can be found in the samples folder Tested with Jupyter Notebook 6.0.3, Jupyter Lab 1.2.6 and Jupyter Console 6.1.0