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Python
5 Levels of Using Exception Groups in Python
From grouping errors to managing asynchronous exceptions
Exception groups, introduced by Python 3.11, mark a significant leap forward in Python’s error-handling toolkit.
By allowing you to catch, aggregate, and manage multiple exceptions as a single coherent unit, they bring clarity and robustness to complex error flows, particularly in concurrent and batch-processing scenarios.
While the concept seems straightforward, it may feel overwhelming to developers using it for the first time.
This article will guide you through 5 progressive levels of mastering exception groups, from fundamental error grouping and filtering tricks to advanced usage in asynchronous programs. After reading, you’ll be writing more resilient and maintainable Python code like a guru!
Level 1: Create Exception Groups Easily
The foundation of exception groups lies in their basic creation and handling.
The following example is how to create and catch a simple one:
def basic_exception_group_demo():
try:
# Simulate multiple errors
raise ExceptionGroup(
"Multiple errors occurred",
[…
