2026-07-23 –, Room 1.19 (Ground Floor, Shannon)
This workshop introduces the fundamentals of data science using Python, focusing on data manipulation and exploratory analysis with the Pandas and Polars libraries. Participants will learn how to load, inspect, clean, transform, and summarize structured datasets through practical examples in Jupyter notebooks. This tutorial also highlights the similarities and differences between Pandas and Polars, providing insight into when each library is most appropriate.
This beginner-friendly tutorial provides a practical introduction to the essential tools and techniques used in Python-based data science.
The tutorial will cover:
- An overview of the Python data science ecosystem
- Loading datasets using Pandas and Polars
- Inspecting data structures and understanding data types
- Cleaning and preparing data for analysis
- Selecting, filtering, and transforming data
- Computing summary statistics and performing basic aggregations
- A brief comparison of Pandas and Polars, including syntax and performance considerations
The session is prepared for participants to follow along in Jupyter notebooks and complete short exercises throughout the tutorial.
