Handling Asynchronous Errors in Python


A common pattern in async code is to handle errors with try/except:

async def main():

task1 = asyncio.create_task(factorial(“A”, 2))

task2 = asyncio.create_task(factorial(“B”, 1))

await task1

await task2

try:

asyncio.run(main())

except Exception as e:

print(f”Caught error: {e!r}”)

import math

def factorial(n):

if n == 0:

return 1

else:

recurse = factorial(n-1)

result = n * recurse

return result

print factorial(4)

def factorial(number):

if number == 0:

return 1

return number * factorial(number – 1)

def factorial(n):

if n == 1:

return n

else:

return n * factorial(n-1)

n = int(input(“Enter number:”))

print(“Factorial:”)

print(factorial(n))

def factorial(n=None):

if n is None:

return None

elif not isinstance(n, int) or n < 0: raise ValueError('n must be a positive integer') elif n == 0: return 1 else: return n * factorial(n - 1) factorial(5) def factorial(n): """Returns the factorial of a number.""" if n < 0: raise ValueError("Inputs 0 or greater only") elif not isinstance(n, int): raise TypeError("Invalid type: {}".format(type(n))) elif n == 100: raise FactorialError("Value too high") result = 1 for i in range(1, n + 1): result *= i return result def fact(n): if n == 0: return 1 else: return n * fact(n-1) print(fact(3))


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