How can I improve the performance of my data cleaning process in Python?

How can I improve the performance of my data cleaning process in Python?

You can improve performance by using libraries like Pandas and Dask, optimizing your code, and using vectorized operations.

What are vectorized operations and how do they help?

Vectorized operations allow you to perform operations on entire arrays or columns at once, which is much faster than looping through elements.

Are there any specific functions in Pandas that I should focus on?

Yes, functions like apply(), map(), and groupby() can significantly speed up your data cleaning tasks.

How can I handle missing data efficiently?

You can use methods like fillna(), dropna(), or interpolation techniques to handle missing data efficiently.