Efficiency Boosts

Introduction

In today’s world of ever-expanding datasets and increasingly complex data transformations, efficiency is paramount. While pandas is a handy tool, its versatility can sometimes lead to inefficiencies that slow down computations, particularly when working with large datasets.

In this lesson, we’ll turn our focus toward techniques that can significantly enhance the performance of pandas operations. While there are numerous techniques available, but we’ll focus on two essential ones:

• Optimize row and column operations

• Speed-up filtering and querying

We’ll work with an online retail transaction dataset, as shown below: