How to deploy a data visualization app that uses Plotly Dash a Plotly express on Google Cloud Run for free. I will show you all the steps and no prior knowledge is required. Please find the source code below.

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📝 Useful notes:
https://dash.plotly.com/
https://cloud.google.com/sdk/docs/ins...

👨‍💻 Source code:
Dash basic application code: https://dash.plotly.com/layout

Change the last two lines as follows:
```
if _name_ == '__main__':
app.run_server(debug=False, host="0.0.0.0", port=8080)
```

Dockerfile:
```
Use the official lightweight Python image.
https://hub.docker.com/_/python
FROM python:3.8

Copy local code to the container image.
ENV APP_HOME /app
WORKDIR $APP_HOME
COPY . ./

Install production dependencies.
RUN pip install -r requirements.txt

EXPOSE 8080

CMD python app.py
```

Commands to build and deploy the application
```
gcloud builds submit --tag gcr.io/ProjectID/dash-youtube-example --project=ProjectID

gcloud run deploy --image gcr.io/ProjectID/dash-youtube-example --platform managed --project=ProjectID --allow-unauthenticated
```

requirements.txt
```
dash==1.20.0
pandas==1.2.4
plotly==4.14.3
```

🎥 Content of this video:
00:00 - What you will learn
00:10 - Plotly Dash
02:00 - Google Cloud Run
03:30 - Create a new project
10:00 - Deploy app locally
13:00 - Build the application
18:00 - Deploy application on Google Cloud Run

🔣 Keywords:
#Dash #Plotly #PlotlyDash #PlotlyExpress #GoogleCloudRun #GoogleCloud #DataVisualization #WebApplication #GoogleCloudConsole