(so make sure it's compatible with your file system). Regardless, the actual name of the kernel will be Kotlin ($name),Īnd the directory will be kotlin_$name with the spaces in name replaced by underscores JDK $vendor $version detected from the JDK. If name is not specified but jdk is the name will be Is needed when passing JVM arguments that start with. The command uses argparse, so -help, (you will need to escape the in powershell), and -opt=value are all supported. To create a kernel for a specific JDK, JVM arguments, and environment variables, you can use the add-kernel script: python -m kotlin_kernel add-kernel * * JVM arguments will be set from the environment variable KOTLIN_JUPYTER_JAVA_OPTS or JAVA_OPTS if the first is not set.Īdditionally, arguments from KOTLIN_JUPYTER_JAVA_OPTS_EXTRA will be added.Īrguments are parsed using shlex.split. The default kernel will use the JDK pointed to by the environment variable KOTLIN_JUPYTER_JAVA_HOME, To start using kotlin kernel inside Jupyter Notebook or JupyterLab create a new notebook with kotlin kernel. 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

Pip install jupyter notebook error