Introduction: Building Resilient Python Applications In the realm of software development, particularly within dynamic languages like Python, the ability to anticipate and manage errors gracefully is paramount. A program that crashes unexpectedly not only frustrates users but can also lead to data loss and system instability. Between 2010 and 2019, Python’s adoption surged, solidifying its
