This 90-minute hands-on tutorial introduces the fundamentals of NumPy and explain the basics and usage of DataFrames using the Pandas and Polars libraries. This tutorial is aimed at Python beginners and covers essential techniques for working with numerical and tabular data.

Participants will learn how to create and manipulate arrays with NumPy, and perform common data analysis tasks using Pandas DataFrames—such as filtering, grouping, and summarizing data. The session will also provide a brief look at Polars, a high-performance alternative to Pandas. Through live coding and exercises, attendees will gain practical skills for efficient data wrangling and analysis.