This image includes ready to use jupyter kernels for the most common programming languages, i.e. Python, Groovy, Java, Scala, Clojure, SQL, Kotlin.
FIXME: There seams to be a permission issue, preventing Mac OS to successfully build this image (i.e. the beakerx build fails with an permission error). Windows works fine and Linux is untested so far.
docker build -t jupyter .
docker run arguments:
-p: to specify port forwarding for the container, you have to expose the container port 8888 to open any notebooks in your hosts browser; e.g. -p 8886:8888 allows you to open jupyter in your host browser at url localhost:8886-p 127.0.0.1:8886:8888-it: to start the container in interactive mode--rm: to delete the container as soon as it is stoppedExternal notebook directories should be mounted to the containers mountpoint /home/jupyter/workspace/notebooks.
For example to mount the directory ./notebooks from the host into the container:
-v ${PWD}/notebooks:/home/jupyter/workspace/notebooks
Precondition: the directory ./notebooks is configured as shared in the docker settings
Windows Powershell:
docker run -it --rm -p 8888:8888 -v ${PWD}/notebooks:/home/jupyter/workspace/notebooks jh00/jupyter:latest
Mac OS Terminal:
docker run -it --rm -p 8888:8888 -v "$PWD"/notebooks:/home/jupyter/workspace/notebooks jh00/jupyter:latest
(for bash script file it is probably $(pwd))
If the notebook is already running but you need to get the token later on you can use jupyter notebook list to output the link again
we can download and upload files directly to the google cloud within jupyter following this guide
* upload the client_id.json file to your Jupyter notebook/lab folder
* use a Python 3 notebook to execute the GoogleDrive authentification
* open [https://console.developers.google.com] and add Google Drive API credentials: Google Drive API, Other UI (e.g. Windows, CLI tool), User data
* create OAuth 2 client_id and download the file
* then go to OAuth consent screen page and add the scope as required (ie. google drive read only or other priviledges)
* use the provided python 3 code to authenticate the client -> a file token.json is created on success
pushing an image to dockerhub
docker login
docker tag $localBuildImageName $dockerUsername/$newRepoName:v1.0
docker push $dockerUsername/$newRepoName:v1.0
changing vim colors for dark terminal backgrounds: :set background=dark
Content type
Image
Digest
Size
2.2 GB
Last updated
about 7 years ago
docker pull jh00/jupyter