A Dashbaords is a useful tool to present data for reporting and exploration. The added value is that a dashboard can be interactive. Python has several frameworks to easily create dashboards, and you will learn about their relative strengths and weaknesses based on some real-world use cases.
Learning outcomes
When you complete this training you will
- be able to create simple dashboards for reporting purposes;
- be able to create simple web applications;
- learn how to deploy dashboards on Github;
- learn how to deploy web application on streamlit.io;
- learn how to deploy a web application on Amazon EC2;
- know which libraries and frameworks to choose depending on your project requirements.
Schedule
Total duration: 2 hours.
| Subject | Duration |
|---|---|
| introduction and motivation | 5 min. |
| panel | 40 min. |
| deploying on Github | 10 min. |
| streamlit | 40 min. |
| deploying on streamlit.io | 10 min. } |
| Amazon EC2 | 10 min. |
| wrap up | 5 min. |
Training materials
Slides are available in the [GitHub repository](https://github.com/gjbex/Python-dashboards, as well as example code and hands-on material.
Target audience
This training is for you if you need to use Python for data analysis.
Prerequisites
You will need experience programming in Python. This is not a training that starts from scratch. Familiarity with pandas is not required, but would be beneficial.
If you plan to do Python programming in a Linux or HPC environment you should be familiar with these as well.
Trainer(s)
- Geert Jan Bex (geertjan.bex@uhasselt.be)