This is an easy problem to solve because it's clear why these types of systems get out of sync. Companies are prone to tons of scenarios for this exact problem, and they're usually the kind of situations that are deadly when unresolved. For example, let's say your company tracks new hires by adding them to an HR system . These new hires need access to internal company systems .

Your company prides itself on being «scrappy,» thus depends on an IT department to provision these users across systems manually. Assuming nobody has made a user error, these systems will have matching user information... until those hires are terminated.

#pandas 

Comparing Rows Between Two Pandas DataFrames
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