tech โจ 5 Python libs making data cleaning less painful
Data cleaning is a major time sink for data pros dealing with messy datasets. Libraries like pyjanitor and Great Expectations speed this up by offering better abstractions and clearer APIs. These tools help detect structural issues, standardize strings, and profile datasets quickly. ftfy fixes broken Unicode, while ydata-profiling generates instant EDA reports. These resources streamline the data prep phase before model training begins. ๐ ๏ธ