Pimp your Charts with the fancy XKCD Style

You like the cool XKCD Look and Feel of the teaser chart? Then this repo/post is what you are looking for!

This repo is a companion of the post Pimp your Charts with the fancy XKCD Style.

Please check the post mentioned above for more details.

For the Impatient

jupyterhub - A multi-user version of the notebook designed for companies, classrooms and research labs

With Docker Compose

docker compose up
xkcd_1  | Executing the command: jupyter lab
xkcd_1  | [I 16:44:48.348 LabApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret

Note: The token of this setup is xkcd!

Visit your local jupyterhub http://localhost:8888/.

With Minikube

Build the container in docker-env:

eval $(minikube docker-env)
docker build -t xkcd-notebook .

...once the image is successfully built and tagged...

kubectl create namespace xkcd
kubectl -n xkcd create secret generic aws-credentials --from-file=.aws/credentials
kubectl -n xkcd apply -f k8s/xkcd-notebook-deployment.yaml
NOTEBOOK_POD_NAME=$(kubectl get pods -n xkcd -l app=xkcd-notebook -o json | jq -r '.items[0].metadata.name')
kubectl -n xkcd port-forward ${NOTEBOOK_POD_NAME} 8888:8888

Note: The token of this setup is xkcd!

Visit your local jupyterhub http://localhost:8888/.

Kick-off Graphviz

Empower the setup with graphviz

RUN apt-get install graphviz
RUN pip install graphviz

Check the Introduction to Graphviz in Jupyter Notebook for more in-depth information.

Read data from an S3 bucket

We use boto3 to interact with an S3 bucket.

RUN pip install boto3

Link your .aws/credentials into the container like follows:

services:
  xkcd-jupyterhub:
    volumes:
     - .aws/credentials:/home/jovyan/.aws/credentials

Tap into Apache Spark with Jupyter

Pimp the current setup:

RUN pip install findspark

Inside your Jupyter notebook:

import findspark