Here come the Power of Exception Handling. If you don’t handle this error, your program will crash and provide an error message to the user. For example, trying to divide a number by zero will raise a ZeroDivisionError. In Python, exceptions are raised when an error or exceptional condition occurs during the execution of a program. Testing: intentionally trigger exceptions in your code to test and ensure that it behaves as expected under different error conditions 3.Debugging: provide more detailed and helpful error messages that aid in debugging and troubleshooting.Robustness: make your programs more resilient to errors by handling exceptions gracefully.Error handling: catch and handle exceptions in a controlled way, preventing your program from crashing and providing a more user-friendly experience for your users.By wrapping potentially error-prone code in a try block, you can catch and handle any exceptions that occur in a graceful and controlled manner, instead of allowing them to propagate and cause your program to crash. Try-except is a construct in Python that allows you to catch and handle exceptions that occur during the execution of your program. When such errors occur, they can cause the program to crash or behave unpredictably, which is not desirable. In Python, errors and exceptions can occur at runtime due to a variety of reasons, such as invalid input, network errors, file system errors, and so on. # catch the raised ValueError and print the error message Raise ValueError("Age cannot be negative.") # raise a ValueError with a custom error message X = int(line) # convert the line to an integer Line = file.readline() # read the first line # Example 2: Handling multiple exceptions Print("Oops! You cannot divide by zero.") X = 1 / 0 # division by zero will raise a ZeroDivisionError # Example 1: Catching a specific exception There are many more advanced use cases for Python Try Except that we will see. These quick examples of try-except in Python demonstrate some of the basic ways to handle errors and exceptions in your code. PySpark Tutorial For Beginners (Spark with Python) 1.
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