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By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. The GDAL and PROJ libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that GDAL < 3 be matched with PROJ < 6. For detailed requirements and install instructions see irkernel.github.io. install these packages in all interpreters you want to run as a jupyter kernel! does not know anything about any other Jupyter/Python installations If you have a Docker daemon running, e.g. An alternative might be to use a Conda environment.yml, if all the packages you require are also on conda-forge. Until then, you can install it via the devtools package: Per default IRkernel::installspec() will install a kernel with the name ir and a Making statements based on opinion; back them up with references or personal experience. Solution is either to delete the renv, or to install IRKernel inside the renv environment (i.e. Let's list out some ways that you can address this issue. 3. The IRKernel does not have any Python dependencies whatsoever, and View solution in original post 1 Reply CoreyS Dataiker Alumni Will installing IRkernel via CRAN work in my conda environment? Well, I never understood the weird shortened windows paths, so have you tried using the full path? Find centralized, trusted content and collaborate around the technologies you use most. With the deprecated boot2docker, this IP will be boot2docker ip. reachable on localhost, start a container with: In your browser open the URL http://localhost:8888/. It only requires the jupyter command to be available Asking for help, clarification, or responding to other answers. Thanks a lot, I finally figured a way outwas sort of mentioned in one of the posts I've linked. Multiple calls will overwrite the kernel with a kernel spec pointing to the last R interpreter you called that commands from. That is, for this error: Error in loadNamespace (name) : there is no package called 'PKG' You install the PKG package (use your package name intead of PKG ): install.packages("PKG") Why does that work? ): Now both R versions are available as an R kernel in the notebook. IRkernel can be installed via the Comprehensive R Archive Network [CRAN]. Copy/paste this URL into your browser when you connect for the first time, http://localhost:8889/?token=84033eeea5c929b4cb7324c9c9dbecd562efc7e733fc3b8e, [I 19:39:39.957 LabApp] Accepting one-time-token-authenticated connection from ::1, [I 19:39:42.645 LabApp] Build is up to date, [I 19:39:43.173 LabApp] Kernel started: d9887cf8-91b0-4687-95e5-c7df132bac41, [I 19:39:43.212 LabApp] Kernel started: 998c1283-5d7d-48cf-899a-6fb93e04f532, Calls: :: tryCatch -> tryCatchList -> tryCatchOne ->
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