![]() ![]() ![]() Before we do that, however, it's worth pointing out what might appear as a slight discrepancy when looking over the list of exception classes provided in Python. These top-level exceptions will serve as a basis for digging into specific exceptions in future articles. Next, let's briefly discuss each important top-level exception type. Let's start by looking at the full Python exception class hierarchy, as seen below:Īs we publish future exception-specific articles in this series we'll update the full list above to relevant tutorial and article links for each exception, so this post can act as a go-to resource for Python exception handling tips. This allows our code to explicitly catch or rescue the raised exception and programmatically react to it in an appropriate manner. While a fatal error will halt execution of the current application, all non-fatal exceptions allow execution to continue. ![]() Most of the errors we'll explore in this series are considered exceptions, which indicate that these are non-fatal errors. Anything from improper arithmetic and running out of memory to invalid file references and unicode formatting errors may be raised by Python under certain circumstances. As with most programming languages, errors occur within a Python application when something unexpected goes wrong. The Python exception class hierarchy consists of a few dozen different exceptions spread across a handful of important base class types. ![]()
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