Pandas, Data Science, Python, Data Analysis, Programming.
descending=True).head(10).select(pl.col(['name','surname','sales','sex'])) once again, Polars outperforms Pandas in terms of speed, especially in the join operation. The syntax is similar, but there are slight differences due to how the libraries work internally. Comparison Table Here’s a summary