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The document discusses exception handling in Python. Exception handling allows programs to gracefully deal with errors and unexpected situations that occur during execution. It separates error handling code from normal code, improving readability.
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Exceptions: Exceptions occur when code that is otherwise syntactically correct, generates an error when we try to run it. These are slightly more challenging to debug,
A exception raised when the user used a keyboard shortcut designed to terminate a program’s execution (Control-C in most OSs). Python 3 defines 63 built-in exceptions, and all of them form a tree-shaped hierarchy.
In this article, you'll learn how to handle exceptions in your Python program using try, except and finally statements. This will motivate you to write clean, readable and efficient code in Python.
Python represents exceptions as objects. In Python, all exceptions inherit from the BaseException class. Below, we see examples of the most common. Python exceptions. # IndexError exception: index out of range. A typical error that ocurrs. # its size. # TypeError exception: erroneus data type handling. # Correct data type handling.
The document discusses exception handling in Python. It defines two types of errors - syntax errors and runtime errors. Runtime errors are also known as exceptions. It then discusses how to handle exceptions using try-except blocks, including using multiple except blocks, a single except block for multiple exceptions, and a default except block.
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WHAT TO DO WITH EXCEPTIONS? What to do when encounter an error? Fail silently: • Substitute default values or just continue • Bad idea! user gets no warning Return an “error” value • What value to choose? • Complicates code having to check for a special value Stop execution, signal error condition • In Python: raise an exception
