Recommended approach for installing and using new kernels?
Possibly this isn't supported yet, but I'm wondering if I'm missing something in the documentation? I added Python3, R, and Julia kernels vi Docker-extended, but but I'm not sure how to expose them in your notebook environment.
bigquery - current_date() inconsistent result?
Can I export to Google Sheets from Datalab?
Using bq command in datalab - credentials needed
Can I create kernel gateway endpoints in google cloud datalab?
Fastest way to read big amounts of data in Google Datalab?
Datalabs project not found
Datalab front get stuck when opening notebooks, and buttons aren't working
How can I programmatically give Cloud ML access to a bucket?
Running cloud datalab kernel on my own server?
How can I get the Cloud ML service account programmatically in Python?
Google datalab : how to import pickle
Is text the only content type for %%storage magic function in datalab
Do I need to update gcloud components as indicated in docker startup
How to import user-written custom modules in google datalab?
Access to Google Cloud Datalab Fails with ssh Error
Cloud Datalab permissions - 403 on VM URL when sharing access