Data cleansing and validation¶

In the following, we want to give you a practical overview of various libraries and methods for data cleansing and validation with Python. Besides well-known libraries like NumPy and ,:doc:/workspace/pandas/index we also use several small, specialised libraries like dedupe, fuzzywuzzy, voluptuous, tdda and hypothesis. We prefer these more lightweight solutions to large, universal systems like Great Expectations or MobyDQ.