When working with Python, it is common to come across situations where you need to pass a function call as an argument in an expression. This can be a bit tricky, especially if you are new to the language. In this article, we will explore three different ways to solve this problem and determine which option is the best.

Option 1: Using lambda functions

One way to solve this problem is by using lambda functions. Lambda functions are anonymous functions that can be defined in a single line. They are useful when you need to define a small function without assigning it a name. Here’s how you can use lambda functions to solve the given problem:

result = (lambda x: x + 2)(5) + (lambda x: x * 3)(3)

In this code snippet, we define two lambda functions: one that adds 2 to its argument and another that multiplies its argument by 3. We then call these lambda functions with the respective arguments and perform the desired operations. The result will be stored in the variable “result”.

Option 2: Using a helper function

Another way to solve this problem is by using a helper function. This approach is useful when you need to reuse the same function call in multiple expressions. Here’s how you can implement this solution:

def add_two(x):
    return x + 2

def multiply_three(x):
    return x * 3

result = add_two(5) + multiply_three(3)

In this code snippet, we define two helper functions: “add_two” and “multiply_three”. These functions take an argument and perform the desired operations. We then call these functions with the respective arguments and perform the desired operations. The result will be stored in the variable “result”.

Option 3: Using inline function calls

The third option is to directly call the functions in the expression without assigning them to variables or using helper functions. This approach is useful when you only need to use the function calls once and don’t want to clutter your code with unnecessary function definitions. Here’s how you can implement this solution:

result = (5 + 2) + (3 * 3)

In this code snippet, we directly call the functions in the expression and perform the desired operations. The result will be stored in the variable “result”.

After exploring these three options, it is clear that the best option depends on the specific requirements of your code. If you need to reuse the same function call in multiple expressions, using a helper function is a good choice. If you only need to use the function call once and want to keep your code concise, using inline function calls is a viable option. However, if you prefer a more functional programming style or need to define complex operations, using lambda functions can be a powerful tool.

In conclusion, the best option for solving this Python question depends on the specific needs of your code. Consider the requirements, readability, and maintainability of your code when choosing the most suitable solution.