How do you handle multiple exceptions in Python?

Handling multiple exceptions in Python can be efficiently managed by specifying multiple exception types within a single except block. This method allows a programmer to catch various exceptions that may arise from a given block of code without needing to write repetitive try-except structures for each individual exception.

When you list multiple exceptions within a single except block, you can either separate them with commas if they are different types of exceptions or use parentheses to group them together. This way, if any of the listed exceptions occur, the code in the except block will execute, enabling a more concise and organized way of managing potential errors. It enhances code readability and maintains clarity, as all related error handling is kept together rather than scattered throughout the code.

This technique contrasts with the alternatives, where a nested try block can complicate code structure and separate try-except blocks may lead to redundancy. Additionally, using a general error message does not provide specificity regarding which exception occurred, making debugging unnecessarily challenging. Thus, specifying multiple exception types in one block is a best practice for effective error handling in Python.