Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
![Screenshot 2023-12-18 at 10 40 27 PM](https://private-user-images.githubusercontent.com/3837836/291468646-4c30ad72-76ee-4939-a5fb-16b570d38cf2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UEcvR5oumYMMrw1mvheF2M90qdlX11l3mj-PQN9N3hU)
#Put home.py in a working directory. Put page_1.py and page_2.py in a folder named pages. | |
import streamlit as st | |
import pandas as pd | |
def initialize(): | |
# the data | |
st.session_state.df1 = pd.DataFrame({'A':[1,2],'B':[3,4]}) | |
st.session_state.df2 = pd.DataFrame({'A':[1,2],'B':[3,4]}) | |
# the shadow data |
# http://editorconfig.org/#file-format-details | |
root = true | |
[*] | |
charset = utf-8 | |
end_of_line = lf | |
indent_size = 4 | |
indent_style = space | |
insert_final_newline = true | |
trim_trailing_whitespace = true |
# Stop all containers | |
docker stop `docker ps -qa` | |
# Remove all containers | |
docker rm `docker ps -qa` | |
# Remove all images | |
docker rmi -f `docker images -qa ` | |
# Remove all volumes |