Now that we've covered creating and using functions

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Every feature should be tested to ensure it works correctly. Automated tests help find bugs before the code goes into production.
Parameters and return values
Use parameters to pass data to a function and return values ​​to get the result of its work. This allows functions to be flexible and reusable.
Example of a function with parameters and return value
def greet(name, time_of_day):
return f"Good {time_of_day}, {name}!"
This function takes a name bulk sms denmark and time of day as parameters and returns a greeting.
business, marketing, promotion
Optimization and refactoring of functions
let's talk about how to make them even better. Optimization and refactoring are key aspects that will help your code stay efficient and maintainable.
Performance Optimization
Avoid unnecessary complexity
Complex functions can slow down your program. Try to make functions do only one thing and do it efficiently.
Minimizing dependencies
The less a function depends on external states and data, the easier it is to test and reuse.
Caching results
For functions that perform resource-intensive operations, consider caching the results to avoid performing the same calculations repeatedly.