Due to its extensive functionality and versatility, pandas has secured a place in every data scientist’s heart.
From data input/output to data cleaning and transformation, it’s nearly impossible to think about data manipulation without import pandas as pd, right?
Now, bear with me: with such a buzz around LLMs over the past months, I have somehow let slide the fact that pandas has just undergone a major release! Yep, pandas 2.0 is out and came with guns blazing!
Although I wasn’t aware of all the hype, the Data-Centric AI Community promptly came to the rescue: