Interactive visualizations in Python 2

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)

Venue Information

Country: Slovakia
Venue Details: Click here

Training Content and Scope

Scientific Domain
Level of Instruction
Intermediate
Advanced
Sector of the Target Audience
Research and Academia
Industry
Public Sector
Other (general public...)
HPC Profile of Target Audience
Application Users
Application Developers
Data Scientists
System Administrators
Language of Instruction

Other Information

Organiser
Supporting Project(s)
EuroCC2/CASTIEL2
Event/Course Description

This course provides an introduction to creating interactive visualisations in Python using the Streamlit library. In this one-day course, you will gain both theoretical knowledge and hands-on experience using Streamlit to create dynamic and interactive web applications for data visualisation. We use the Microsoft Windows operating system for this course.

1. Introduction to Streamlit
Introduction to the Streamlit library and its benefits
Installation and environment setup
2. The basics of working with Streamlit
Creating your first Streamlit project
Basic components and widgets (text, numbers, charts)
Interactivity and dynamic elements
3. Visualising data with Streamlit
Loading and displaying data
Creating graphs and charts
Working with different types of data