What libraries are best for data change detection in Python?

What libraries are best for data change detection in Python?

Some popular libraries for data change detection in Python include Pandas, Dask, and PySpark. Do you have a specific use case in mind?

I'm working with large datasets and need to track changes efficiently.

In that case, Dask might be a great choice as it can handle larger-than-memory datasets and provides parallel computing capabilities.

What about using Pandas? Is it suitable for large datasets?

Pandas is excellent for data manipulation and analysis, but it may struggle with very large datasets due to memory constraints. You can use it for smaller datasets or combine it with Dask for larger ones.

Are there any specific functions in these libraries for change detection?

Yes, in Pandas, you can use methods like diff() and compare(). Dask has similar functionalities, allowing you to perform operations on distributed data.