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When working with data in Python, you’ll often need to iterate through collections like lists, tuples, or dictionaries. However, things don’t always go as planned, and you may encounter unexpected situations or errors. That’s where exceptions come into play.
In this article, we’ll explore how to effectively combine looping techniques with exception handling to create robust and error-resistant Python programs.
The Basics of Looping in Python
Python provides several ways to iterate over collections, with the most common being the for
loop and the while
loop. Here's a quick refresher:
# For loop
fruits = ['apple', 'banana', 'cherry']
for fruit in fruits:
print(fruit)
# While loop
count = 0
while count < 5:
print(count)
count += 1
The for
loop iterates over each item in the collection, while the while
loop continues executing as long as the condition is true.
Introducing Exceptions
Exceptions are Python’s way of handling errors and unexpected situations. When an exception occurs, Python raises an…