Here are some exercises for you to try on your own.
Two of Python’s built-in functions are min and max. In the Python shell, execute the following function calls:
For the following function calls, in what order are the subexpressions evaluated?
Following the function design recipe, define a function that has one parameter, a number, and returns that number tripled.
Following the function design recipe, define a function that has two parameters, both of which are numbers, and returns the absolute value of the difference of the two. Hint: Call the built-in function abs.
Following the function design recipe, define a function that has one parameter, a distance in kilometers, and returns the distance in miles. (There are 1.6 kilometers per mile.)
Following the function design recipe, define a function that has three parameters, grades between 0 and 100 inclusive, and returns the average of those grades.
Following the function design recipe, define a function that has four parameters, all of them grades between 0 and 100 inclusive, and returns the average of the best 3 of those grades. Hint: Call the function that you defined in the previous exercise.
Complete the examples in the docstring and then write the body of the following function:
| | def weeks_elapsed(day1, day2): |
| | """ (int, int) -> int |
| | |
| | Return the number of full weeks that have elapsed between day1 and |
| | day2, which are two days in the same year. |
| | |
| | >>> weeks_elapsed(3, 20) |
| | 2 |
| | >>> weeks_elapsed(20, 3) |
| | 2 |
| | >>> weeks_elapsed(8, 5) |
| | |
| | >>> weeks_elapsed(40, 61) |
| | |
| | """ |
Consider this code:
| | def square(num): |
| | """ (number) -> float |
| | |
| | Return the square of num. |
| | |
| | >>> square(3) |
| | 9 |
| | """ |
In the following table, fill in the Example column by writing square, num, square(3), and 3 next to the appropriate description.
| Description | Example |
|---|---|
| Parameter | |
| Argument | |
| Function name | |
| Function call |
Write the body of the square function from the previous exercise.