This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.
@hugobowne this PR does two main things to address #7:
adds streamlit, along with a basic demo from part of your notebook (see app.py file).
dockerizes the process, so it can be run using docker-compose up, and previewed from localhost:8000. I commented out some lines that will allow the dashboard to scale better when run on a beefy machine on eg Digital Ocean etc..
it appears there is some uncertainty around how to use conda from docker. I didn't have time to shave the docker+conda yak, so used normal python + pip in the container.
the environment.yml did not pin all dependency versions. Added the to requirements.txt.
@hugobowne this PR does two main things to address #7:
docker-compose up
, and previewed from localhost:8000. I commented out some lines that will allow the dashboard to scale better when run on a beefy machine on eg Digital Ocean etc..screencast of me running the dashboard
Notes
Hope this helps!