tinkr-jupyter-notebook

To try it out without hassle - Run it on Tinkr.

This template repository is used to run jupyter notebook collaboratively on Tinkr and your local.

Service Configuration (jn):

• volumes: Mounts the volume named juptyer_datasets to the /home/project/work directory in the container.
• x-tinkr: Custom configuration required to run on Tinkr for resource allocation and load balancing.
  • cpu and memory: Allocate 512 MB of CPU and memory resources to the container.
  • load_balancer: Defines load balancing settings.
    • tenancy: Specifies that the tenancy is shared.
    • type: Indicates the type of load balancer as a web server.
    • healthcheck: Specifies health check settings for the load balancer.

Volume Definition (volumes):

Defines the juptyer_datasets volume, which can persist data across container restarts.

Installed packages:

• jupyterlab

• jupyter_collaboration

• notebook

• numpy==1.23.2

• pandas==2.0.3

• matplotlib==3.7.2