What's the best approach for efficient data parsing in large datasets? Alternatively: Struggling with

Regex is my best friend for data parsing, but it’s easy to overcomplicate. I’ve found that breaking the problem into smaller chunks helps.

For example, handle missing values first, then standardize formats, and finally deal with outliers. Tools like `fuzzywuzzy` can help with messy text data too!