• Describe the client-server model
• Describe the terms "frontend" and "backend"
• Understand the difference between a static and a dynamic website
• Understand which part of a Flask app contains Python
• Understand which part of a Flask app contains HTML and CSS
• Create a new conda environment and install the requirements for a Flask app
• Run a Flask app locally
• View output from server print statements
• Use the jinja2 templating system to send data from the backend to the frontend of a Flask app

• Understand the difference between a GET and a POST request
• Use an HTML form to send data from the frontend to the backend
• Understand how JavaScript fits into the frontend

This repo uses Python 3.6.0. All python packages can be found in the requirements.txt file.

To create a new conda environment to use this repo, run:

conda create --name flask-env --file requirements.txt
conda activate flask-env

You will likely need to install additional packages to support your deployment, e.g. scikit-learn. With the flask-env activated, you can run conda install <package-name>. Once you are ready to deploy, you can generate your own requirements.txt for reproducibility purposes with:

conda list --export > requirements.txt

export FLASK_ENV=development
env FLASK_APP=app.py flask run

Let's get the current time:

from time import strftime
time_str = strftime("%m/%d/%Y %H:%M")

Then let's send it to the frontend:

return render_template("index.html", time_info=time_str)

Then on the frontend, display it:

<p>
    Current time: {{time_info}}
</p>