12. Python Error Handling
In this lesson we cover Error Handling — one of the most important skills in the whole course. Without it, one bad API response, one missing key, or one network timeout crashes your entire script. With it, your code handles failures gracefully, logs what went wrong, and keeps going.
This is Phase 2 of the Data Fishbowl Python Course, and everything in this lesson feeds directly into the AI agent we build at the end of the series.
What's covered:
• try and except — catching errors before they crash your script
• Naming specific exceptions — why a bare except is dangerous
• Multiple except blocks — handling different errors differently
• else and finally — success-only code and guaranteed cleanup
• raise — enforcing your own validation rules
• Custom exceptions — ClaimValidationError and APIResponseError
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