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Basic Error Handling in Python: try and except Explained Simply
NewsMachine Learning

Basic Error Handling in Python: try and except Explained Simply

via Dev.to TutorialShahrouz Nikseresht2h ago

Errors (exceptions) happen in every program. Python's try and except blocks let you handle them gracefully instead of crashing. Why handle errors? Without handling, an error stops the program. number = int ( input ( " Enter a number: " )) print ( 10 / number ) If the user enters "zero" or "hello", the program crashes. With error handling, you can recover or show a friendly message. The basic try-except structure try : number = int ( input ( " Enter a number: " )) result = 10 / number print ( result ) except : print ( " Something went wrong. Please enter a valid number. " ) The code in try runs normally. If an error occurs, Python jumps to except instead of crashing. Handling specific errors It is better to catch specific exceptions. Common ones: ValueError : wrong type (e.g., int("hello")) ZeroDivisionError : division by zero IndexError : list index out of range KeyError : dictionary key not found try : age = int ( input ( " Enter your age: " )) print ( 100 / age ) except ValueError :

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