pydockerize

Creating docker containers for Python usage with Jupyter notebooks

Set up jupyterlab to run your git projects using Docker.

Requirements

• Docker

• a git repository with a conda environment file (yaml file)

• jupyterlab must be listed as a dependency in the conda environment file

Building the image

Run the command below to build the image, replacing the variables with the appropriate names:

cd conda/docker && docker build -t <IMAGE_NAME>:<VERSION> --build-args GIT_REPO=<GIT_REPO> --build-args PATH_TO_ENVFILE=<PATH_TO_ENVFILE> .

If running this command is successful, your image with <IMAGE_NAME> and version <VERSION> should be shown after running the command docker images.

Pushing the image to Docker Hub

Pushing the image to Docker Hub requires a login and password to Docker Hub. You may find it useful to read the instructions found in this step-by-step guide.

Running the container and getting access to jupyterlab

Run the command below to run the container:

docker run --rm -p 8888:8888 <IMAGE_NAME>:<VERSION>

After successfully running this command, you may access the jupyter notebook by opening the address 0.0.0.0:8888 in your favorite browser.