Can You Build Complex Logic With Python?

Python enables you to build complex logic by combining conditions using comparison and logical operators. Let’s explore how you can use these tools to create sophisticated decision-making systems.

🟢 Combining Conditions

You can combine comparison and logical operators to build powerful, compound conditions.

Combining Example:

x = 15
if (x > 10) and (x % 5 == 0):
    print("x is greater than 10 and divisible by 5.")        

🟢 Handling Common Pitfalls

1. Indentation Errors: Python relies on proper indentation for block structures.
2. Type Errors: Always validate user input before applying operations.

🟢 Practical Challenge

Problem: Write a program to check if a given year is a leap year.

Leap Year Logic:

A year is a leap year if:

1. It is divisible by 4.
2. It is not divisible by 100, unless divisible by 400.

Solution:

year = int(input("Enter a year: "))

if (year % 4 == 0) and (year % 100 != 0 or year % 400 == 0):
    print(f"{year} is a leap year.")
else:
    print(f"{year} is not a leap year.")        

🟢 What’s Next?

By mastering Python’s logic and conditions, you can write programs that are both robust and dynamic. In the next article, we’ll dive into loops to perform repetitive tasks efficiently. Stay tuned for more Python insights! 🚀