It’s a simple and fast way to perform exploratory data analysis of a Pandas Dataframe. The pandas df.describe() and df.info()functions are normally used as a first step in the EDA process.

Any function involving math operations, especially in Python, tends to be expensive. Caching and reusing the results is often orders of magnitude faster than recomputing the results each time.

In Python, the mere act of making a function call incurs a relatively large amount of overhead. If some function is called repeatedly in a tight loop, even if it isn’t a long-running function ...