Maximizing Pandas Efficiency: Top 10 Mistakes to Steer Clear of in Your Code

Pandas is a powerful and popular data analysis library in Python, widely used by data scientists and analysts to manipulate and transform data. However, with great power comes great responsibility, and it’s easy to fall into common pitfalls that can lead to inefficient code and slow performance.

In this article, we’ll explore the top 10 mistakes to steer clear of when using Pandas, so you can maximize your efficiency and get the most out of this powerful library. Whether you’re a beginner or a…