Writing functions

functions encapsulate complexity so that we can treat it as a single thing
functions enable re-use: write one time, use many times

First define:

def greeting():
    print('Hello!')

and then we can run it:

greeting()

def printDate(year, month, day):
    joined = str(year) + '/' + str(month) + '/' + str(day)
    print(joined)
printDate(1871, 3, 19)

Every function returns something, even if it’s None.

a = printDate(1871, 3, 19)
print(a)

How do we actually return a value from a function?

def average(values):   # the argument is a list
    if len(values) == 0:
        return None
    return sum(values) / len(values)
a = average([1, 3, 4])
print('average of actual values:', a)

Quiz 5: convert from Fahrenheit to Celsius

Quiz 6: convert from Celsius to Fahrenheit

Quiz 7: convert temperature lists

Function arguments in Python can take default values becoming optional:

def addNumber(a, b=1):
    return a+b
print(addNumber(5))
print(addNumber(5,3))

With several optional arguments it is important to be able to differentiate them:

def modify(a, b=1, coef=1):
    return a*coef + b
print(modify(10))
print(modify(10, 1))   # which argument did we add?
print(modify(10, coef=2))
print(modify(10, coef=2, b=5))

Any complex python function will have many optional arguments, for example:

?print