Flask on the Pi

This repo contains 3 examples of using Flask, for use in Term 1 of Code Next's Team Edge program, a course that includes Full Stack Web deveolpment with Flask primarily using the Raspberry Pi.

Projects Include:

Hello Flask( a basic template for serving raw html).
Flask-API( an example of using Flask to serve API content with endpoints)
Flask-PG ( A playground app with different pages, including the NASA API Picture of the Day and other examples of using Flask)
Code Next ( The static codenext website recreated in a Flask app )

Usage:

The Majority of the projects are simple but one requires a Raspberry Pi, as it reads system data and disiplays it on a page. These are basic examples meant to inspire the creation of your own apps.

Clone the projects to your Pi Desktop or other folder:

 $ cd ~/Desktop
 $ git clone https://github.com/vivertido/flask_on_pi.git

To run an app, navigate to its folder and run:

 $ python3 app.py

You can also run the app directly from many coding IDEs like VSCode.

TODOs:

Explore how Hello Flask works and how the files are structured.
Explore app.py and how each page, or route is served.
Start with the Hello Flask and add more pages/routes. Add buttons or links so you can navigate to and from these new pages.
Use render_template to load HTML pages stored in templates folder and link CSS as needed.
Explore the Playground projects. What else would you display on a Flask app? Bring in a project you already worked on and incorporate it. This can be your "Porfolio" project.
Use the Playground dynamic.html example to see how to use Jinja to render dynamic content, and how app.py serves this.
Explore how to Fetch fresh daily data from a 3rd party API (Nasa Picture of the Day) into a page. Hint, you will want to get an API Key of your own for this here. What other API data can you fetch and load?
Try the Flask API project to explore how build endpoints for your own APIs so others can call your app to serve up content by reading the parameters in a Fetch URL with queries. There is some JSON data already in the data folder for you to serve up, or get your own.
Have fun building with Flask!

vivertido/flask_on_pi

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