Python Essentials for Finance·Lesson 5 of 38·14 min
Print debugging, assertions, and unit tests for data pipelines
This lesson is for enrolled learners
The concept in plain words A data pipeline that silently produces wrong numbers is more dangerous than one that crashes — a crash tells you something's wrong; a silently-wrong Sharpe ratio tells you to put real money behind a broken strategy. This lesson builds the habit of catching errors early and explicitly, using three tools of increasing rigor: print debugging……
Enroll to continue Already enrolled? Sign in