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Exception Handling in Python
What is an Exception?Exceptions are noting but the errors detected during execution of theprogram. They interrupt the normal flow of a program’s instructions.What is Exception handling ?The machine expects that something might go wrong and knows how torespond without crashing. The program creates an “exception” objectthat contains information about the error. The process of responding tothis exception is called “exception handling”.
Why Exception Handling?• - To prevent program crashes.• - To handle errors gracefully.• - To improve debugging and error tracing.• - To ensure the program continues or fails safely.
Process of exception handling
Basic Try-Except Blocktry:# Code that may raise an exceptionresult = 10 / 0except ZeroDivisionError:# Handling specific exceptionprint("Cannot divide by zero!")
Handling Multiple ExceptionsHandling multiple exceptions means being ready for different kinds of errors,and knowing exactly how to respond to each — just like solving differentproblems in everyday life.
Else Clause:else`: Runs if no exceptions occur.Finally Clause:`finally`: Always executes, whether exception occurred or not.Catch-All Exception Handling:You can use a general except block to catch any exception that wasn't specificallyhandled.raise KeywordThe raise keyword in Python is used to manually trigger an exception. It tells theprogram: “Something went wrong — stop and handle this issue.”custom exceptionA custom exception is a user-defined error type that you create to handlespecific problems in your program more clearly and meaningfully.
Raising Exceptions• def bake_cake(eggs):• if eggs == 0:• # Raise an exception if no eggs• raise ValueError("You need at least one egg to bake a cake!")• print("Cake is baking...")• # Now let's handle the exception when calling the function• try:• bake_cake(0) # Trying to bake with 0 eggs• except ValueError as e:• print("Error:", e)
Understanding ExceptionsBaseExceptionThe root class for all exceptions inPython.Popular Built-ins• TypeError• NameError• IndexError• IOErrorCommon Exceptions•ArithmeticError•LookupError•ValueError
Common Python Exceptions• - ArithmeticError• - AssertionError• - AttributeError• - EOFError• - ImportError• - IndexError• - KeyError• - KeyboardInterrupt• - MemoryError• - NameError• - NotImplementedError• - OSError• - OverflowError• - RecursionError• - RuntimeError• - StopIteration• - SyntaxError• - IndentationError• - TabError• - SystemError• - TypeError• - UnboundLocalError• - ValueError• - ZeroDivisionError
Custom Exceptions• ```python• class CustomError(Exception):• pass• raise CustomError("A custom error occurred")• ```• - Define your own exception types.
Best Practices• - Catch specific exceptions.• - Avoid bare excepts (except:)• - Clean up resources (use finally or with)• - Log errors for debugging.
Thank You!• Questions?

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Python_Exception_Handling_Presentation.pptx

  • 1.
  • 2.
    What is anException?Exceptions are noting but the errors detected during execution of theprogram. They interrupt the normal flow of a program’s instructions.What is Exception handling ?The machine expects that something might go wrong and knows how torespond without crashing. The program creates an “exception” objectthat contains information about the error. The process of responding tothis exception is called “exception handling”.
  • 3.
    Why Exception Handling?•- To prevent program crashes.• - To handle errors gracefully.• - To improve debugging and error tracing.• - To ensure the program continues or fails safely.
  • 4.
  • 5.
    Basic Try-Except Blocktry:#Code that may raise an exceptionresult = 10 / 0except ZeroDivisionError:# Handling specific exceptionprint("Cannot divide by zero!")
  • 6.
    Handling Multiple ExceptionsHandlingmultiple exceptions means being ready for different kinds of errors,and knowing exactly how to respond to each — just like solving differentproblems in everyday life.
  • 8.
    Else Clause:else`: Runsif no exceptions occur.Finally Clause:`finally`: Always executes, whether exception occurred or not.Catch-All Exception Handling:You can use a general except block to catch any exception that wasn't specificallyhandled.raise KeywordThe raise keyword in Python is used to manually trigger an exception. It tells theprogram: “Something went wrong — stop and handle this issue.”custom exceptionA custom exception is a user-defined error type that you create to handlespecific problems in your program more clearly and meaningfully.
  • 9.
    Raising Exceptions• defbake_cake(eggs):• if eggs == 0:• # Raise an exception if no eggs• raise ValueError("You need at least one egg to bake a cake!")• print("Cake is baking...")• # Now let's handle the exception when calling the function• try:• bake_cake(0) # Trying to bake with 0 eggs• except ValueError as e:• print("Error:", e)
  • 10.
    Understanding ExceptionsBaseExceptionThe rootclass for all exceptions inPython.Popular Built-ins• TypeError• NameError• IndexError• IOErrorCommon Exceptions•ArithmeticError•LookupError•ValueError
  • 11.
    Common Python Exceptions•- ArithmeticError• - AssertionError• - AttributeError• - EOFError• - ImportError• - IndexError• - KeyError• - KeyboardInterrupt• - MemoryError• - NameError• - NotImplementedError• - OSError• - OverflowError• - RecursionError• - RuntimeError• - StopIteration• - SyntaxError• - IndentationError• - TabError• - SystemError• - TypeError• - UnboundLocalError• - ValueError• - ZeroDivisionError
  • 12.
    Custom Exceptions• ```python•class CustomError(Exception):• pass• raise CustomError("A custom error occurred")• ```• - Define your own exception types.
  • 13.
    Best Practices• -Catch specific exceptions.• - Avoid bare excepts (except:)• - Clean up resources (use finally or with)• - Log errors for debugging.
  • 14.

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