Articles filed in category 'Coverage.py'

Every system needs to be tested before being set loose on an unsuspecting public. Keith uses Coverage.py to figure out how much information about code is enough, and what kinds of statistics and measurements can make you confident that your work will endure whatever a user throws at it.

Insufficient testing can lead to devastating results. Find out what you can do to minimize outages as Keith explores unit testing using a Python tool called Coverage.py.