The code you provided is generally functional, but there are several areas for improvement. Let's discuss them one by one:
-
Function Naming:
- While
find_sum
is somewhat descriptive, a more conventional name in Python for this utility might beadd_numbers
orsum_two_numbers
. Using a more descriptive name makes it clearer what the function is intended to do.
- While
-
Variable Naming:
- The variable
num_2
uses an underscore, which is not usually a conventional naming style. It would be clearer to name itnum2
, following common Python naming conventions.
- The variable
-
Docstring Improvement:
- The docstring is too generic. A more descriptive docstring would mention the types of the parameters and what the return value is. For example:
''' Takes two numbers and returns their sum. Parameters: num1 (int or float): The first number to add. num2 (int or float): The second number to add. Returns: int or float: The sum of num1 and num2. '''
- The docstring is too generic. A more descriptive docstring would mention the types of the parameters and what the return value is. For example:
-
Type Hinting:
- Including type hints can improve code readability and help an IDE or a static type checker understand the expected data types. The function could be defined as:
def add_numbers(num1: float, num2: float) -> float:
- Including type hints can improve code readability and help an IDE or a static type checker understand the expected data types. The function could be defined as:
-
Redundant Variable:
- Defining an additional variable to store the sum is not necessary unless you have a specific need to do intermediate processing or logging. The current implementation is already efficient.
-
Input Validation:
- Adding input validation to ensure that the inputs are indeed numeric can prevent runtime errors, especially if this function will be used in a broader application. You can implement it as:
if not isinstance(num1, (int, float)) or not isinstance(num2, (int, float)): raise ValueError("Both num1 and num2 must be numeric.")
- Adding input validation to ensure that the inputs are indeed numeric can prevent runtime errors, especially if this function will be used in a broader application. You can implement it as:
Refactored Code Example
Taking all of the above suggestions into account, here is a refactored version of the code:
def add_numbers(num1: float, num2: float) -> float:
'''
Takes two numbers and returns their sum.
Parameters:
num1 (int or float): The first number to add.
num2 (int or float): The second number to add.
Returns:
int or float: The sum of num1 and num2.
Raises:
ValueError: If either num1 or num2 is not a number.
'''
if not isinstance(num1, (int, float)) or not isinstance(num2, (int, float)):
raise ValueError("Both num1 and num2 must be numeric.")
return num1 + num2
Implementing these improvements will enhance code clarity, flexibility, and robustness.