Most Data Scientists/Analysts using Python are familiar with Pandas. And if you are in the data science field, you probably have invested quite a significant amount of time learning how to use them to manipulate your data. However, Pandas is not the only library you can use to manipulate your data. In this workshop, you will learn how to perform data analytics using two other libraries - Polars and DuckDB.

Polars is a DataFrame library that is completely written in Rust. In the first part of this workshop, you will learn the basics of using Polars in Python and how it can be used in place of Pandas.

DuckDB is a Relational Database Management System (RDBMS) that supports the Structured Query Language (SQL). It is designed to support Online Analytical Processing (OLAP), and it is well suited for performing data analytics. In the second part of this workshop, you will learn how to use DuckDB to perform data analytics.