Exercise Create Function in Python

We've wrritten this code:

print("Hello AlgoCademy!")
print("Coding is amazing!")
print("Functions are so useful!")

print("Hello AlgoCademy!")
print("Coding is amazing!")
print("Functions are so useful!")

print("Hello AlgoCademy!")
print("Coding is amazing!")
print("Functions are so useful!")

Write the same code in a better way by creating and calling a function print_messages()

Understanding the Problem

The core challenge here is to avoid repetitive code by using a function. Functions help in making the code more modular, readable, and maintainable. This problem is a basic exercise in understanding how to define and call functions in Python.

Approach

To solve this problem, we need to encapsulate the repeated print statements into a single function and then call this function multiple times. This approach reduces redundancy and makes the code cleaner.

Naive Solution

The naive solution is the one provided in the problem statement, where the same set of print statements is repeated multiple times. This is not optimal because it leads to code duplication and makes the code harder to maintain.

Optimized Solution

The optimized solution involves creating a function print_messages() that contains the print statements. We then call this function multiple times as needed. This approach is better because it adheres to the DRY (Don't Repeat Yourself) principle.

Algorithm

Here is a step-by-step breakdown of the optimized solution:

Define a function named print_messages().
Inside the function, include the three print statements.
Call the print_messages() function three times.

Code Implementation

def print_messages():
    # Print the messages
    print("Hello AlgoCademy!")
    print("Coding is amazing!")
    print("Functions are so useful!")

# Call the function three times
print_messages()
print_messages()
print_messages()

Complexity Analysis

The time complexity of this solution is O(1) because the number of operations is constant and does not depend on any input size. The space complexity is also O(1) as we are not using any additional data structures.

Edge Cases

There are no significant edge cases for this problem since it involves simple print statements. However, if the function were to take parameters, we would need to consider cases where the parameters might be empty or invalid.

Testing

To test this solution, simply run the code and verify that the output matches the expected result:

Hello AlgoCademy!
Coding is amazing!
Functions are so useful!
Hello AlgoCademy!
Coding is amazing!
Functions are so useful!
Hello AlgoCademy!
Coding is amazing!
Functions are so useful!

Thinking and Problem-Solving Tips

When approaching problems like this, always look for patterns and repetitions in the code. Functions are a powerful tool to encapsulate repeated logic, making your code more modular and easier to maintain. Practice by identifying repetitive code in your projects and refactoring it into functions.

Conclusion

In this exercise, we learned how to refactor repetitive code by using functions. This not only makes the code cleaner but also adheres to best practices in programming. Understanding and using functions effectively is a fundamental skill in any programming language.

Exercise: Create Function in Python