In this workshop, you will learn how to build an interactive front end for your Python data science models. More specifically, this workshop cover the following:
- Introduction to the fundamentals of Plotly graphing libraries
- Defining an application layout
- Writing callback functions to make your application interactive
- Creating a front end to run a machine learning model in Dash
- Showing examples of Dash applications for different use cases
Downloading the files ahead of time isn't required, but may be helpful for following along.
To run these applications, clone the repository and then open a terminal to the app folder.
Create and activate a new virtual environment (recommended) by running the following:
On Windows:
python -m venv myvenv
\myvenv\Scripts\activate.bat
# OR
\myvenv\Scripts\Activate.ps1
On Linux:
python3 -m venv myvenv
source myvenv/bin/activateInstall the requirements:
pip install -r requirements.txt
Run the app:
python <app_name>
You can run the app on your browser at http://127.0.0.1:8050
To learn more about Dash, please visit Plotly's documentation site.
