# Lecture 3 — Python Functions¶

Most of this is covered late in Chapter 2 of Practical Programming and Chapter 3 of Think Python. Chapter 6 of Think Python goes into more detail, but we are not quite ready for that yet.

## Back to Area and Volume Calculation¶

• Recall our program to compute the surface area and volume of a cylinder:

>>> pi = 3.14159
>>> radius = 2
>>> height = 10
>>> base_area = pi * radius ** 2
>>> volume = base_area * height
>>> surface_area = 2 * base_area + 2 * pi * radius * height
>>> print "volume is", volume, ", surface area is", surface_area
volume is 125.6636 , surface area is 150.79632

• If we want to run all or part of this again, on different values, we either have to edit the program and rerun it, or we have to type the statements all over again.

• Instead, we will gather the code into one or more Python functions that we can run repeatedly.

• The purpose of today’s class is to introduce the basics of writing and running Python functions.

## A Function to Compute the Area of a Circle¶

• In mathematics, you might write a function to calculate the area of a circle as • In Python, when typing directly into the interpreter, we write

>>> def area_circle(radius):
...   pi = 3.14159
...   return pi * radius ** 2

• Then we can run this using

>>> area_circle(1)
>>> area_circle(2)
>>> area_circle(75.1)


Note that by using examples with small values for the radius we can easily check that our function is correct.

• Important syntax includes

• Use of the keyword def and the : to indicate the start of the function
• Indentation for the lines after the def line
• Blank line at the end of the function

The ... are produced by the Python interpreter, just like the >>> are.

## What does Python do as we type?¶

1. Reads the keyword def and notes that a function is being defined.

• The line that starts with def is called the function header
2. Reads the rest of the function definition, checking its syntax

3. Notes the end of the definition when the blank line is reached.

4. Sees the function call

>>> area_circle(1)


at what’s known as the “top level” or “main level” of execution (indicated by the presence of >>>), and

• Jumps back up to the function
• Assigns 1 to radius
• Runs the code inside the function
• Returns the result of the calculation back to the top level and outputs the returned result
5. Repeats the process of running the function at the line

>>> area_circle(2)


this time with radius assigned the value 2

6. Repeats the process again at the line

>>> area_circle(75.1)


## Flow of Control¶

To re-iterate, the “flow of control” of Python here involves

• Reading the function definition without executing
• Seeing a “call” to the function, jumping up to the start of the function and executing
• Returning back to the place in the program that called the function and continuing.

## Arguments, Parameters and Local Variables¶

• Arguments are the values 1, 2 and 75.1 in our above examples.
• These are each passed to the parameter called radius named in the function header. This parameter is used just like a variable in the function.
• The variable pi is a local variable to the function.
• Neither pi nor radius exists at the top / main level. At this level, they are “undefined variables”. Try it out.

## Storing Your Function In a Python File¶

• Instead of typing directly into the interpreter, we can type the function into a file, save the file, and then run it.
• This is what happens when you type into the upper pane of the Wing IDE display.
• We run the program by clicking on the green triangle. The results appear in the “Python Shell” on the lower right.
• The flow of control is the same as if we typed directly into the interpreter, but...
• We need print statements to generate the output
• We do not need the blank line to end the function definition. We just need to stop the indentation.
• We will do this in class.

## Exercises¶

For the following problems, write your code as though it is being typed into a file (or, if you have your laptop, type it into a file in the upper left corner of the Wing IDE).

1. Write a function to convert the Celsius temperature to a Fahrenheit temperature and return it.
2. Write code to use the function.
3. What are the arguments, parameters and local variables?
4. Write a second function to convert a Fahrenheit temperature to Celsius and return it.
5. How might you use the two functions together to test that they are both correct?

## Functions with Multiple Arguments / Parameters¶

• For our volume calculation, we write a function involving two parameters, called with two arguments:

def volume(radius, height):
pi = 3.14159
return pi * radius ** 2 * height

print "volume of cylinder with radius", 1, "and height 2 is", volume(1,2)
print "volume of cylinder with radius", 2, "and height 1 is", volume(2,1)

• Python determines which argument goes to which parameter based on the order of the arguments, the first going to radius and the second going to height.

• In this example, we have provided clearer, more extensive output.

• The text between the " symbols is output as is. More on this in Lecture 4.

## Functions That Do Not Return Values¶

• Some Python functions do not return a value — usually they print out their result.

• For example,

def volumep(r, h):
pi = 3.14159
vol =  pi * r ** 2 * h
print "The volume of a cylinder with radius", r, "and height", h, "is", vol

volumep(1,2)
volumep(2,1)

• The end of the function is indicated by the line starting at volumep(1,2), which is at the same level of indentation as the def.

• There is no return and the calling code does not attempt to use (e.g. print) a returned value.

• We could add a return with no value at the end of the function.
• The choice between using functions that do and do not have return values will become clear over time.

## Exercises¶

1. Write a Python function that calculates and returns the average of three numbers. Add code to show how this is called.
2. Write a Python function that calculates and outputs the average of three numbers, without returning the result. Show how this is called.

## Functions That Call Functions¶

• Let’s make use of our area of circle function to compute the surface area of the cylinder.

• Here is the Python code, in file surface_area.py:

def area_cylinder(radius,height):
pi = 3.14159
height_area = 2 * radius * pi * height
return 2*circle_area + height_area

pi = 3.14159
return pi * radius ** 2

print 'The area of a circle of radius 1 is', area_circle(1)
r = 2
height = 10
print 'The surface area of a cylinder with radius', r
print 'and height', height, 'is', area_cylinder(r,height)

• Now we’ve defined two functions, one of which calls the other.

• Flow of control proceeds in two different ways here:

1. Starting at the first print at the top level, into area_circle and back.
2. At the second print
1. into area_cylinder,
2. into area_circle,
3. back to area_cylinder, and
4. back to the top level.
• The Python interpreter keeps track of where it is working and where to return when it is done with a function, even if it is back into another function.

## Gathering Our Example Into One Big Function¶

• We can gather our code in one complete set of functions, writing them into a file called area_volume.py:

def area_circle(radius):
pi = 3.14159
return pi * radius ** 2

return area * height

pi = 3.14159
height_area = 2 * radius * pi * height
return 2*circle_area + height_area

print "For a cylinder with radius", radius, "and height", height
print "The surface area is", area_cylinder(radius,height)
print "The volume is", volume_cylinder(radius,height)

• Now we have functionality that we can use to generate clear, complete output for many different values of the radius of a circle and the base radius and height of a cylinder.

## Thinking About What You See¶

Why is it NOT a mistake to use the same name, for example radius, in different functions (and sometimes at the top level)?

## Let’s Make Some Mistakes¶

In order to check our understanding, we will play around with the code and make some mistakes on purpose

• Removing pi
• Changing the name of a function
• Switching the order of the parameters in a function call
• Making an error in our calculation

## Exercise¶

1. Write a function to compute the area of a rectangle.
2. Write a second function that takes the length, width and height of a rectangular solid and computes its surface area. It should use the function you wrote to compute the area of the rectangle, calling it three times.

## Why Functions?¶

We write code that is

• Easier to think about and write
• Easier to test: we can check the correctness of area_circle before we test area_cylinder.
• Clearer for someone else to read
• Reusable in other programs

Together these define the notion of encapsulation, another important idea in computer science!

## Python’s Built-In Functions¶

• Python provides a number of functions that are already defined for you to use. These are called built-in functions
• A few examples, some of which we have already seen
• Let’s play around to see what they do!

## Summary¶

• Functions for encapsulation and reuse
• Function syntax
• Arguments, parameters and local variables
• Flow of control, including functions that call other functions
• Built-in functions
• You can find the code developed in this class under the class modules. In particular, area_solid and area_volume.

## What to work on before next class:¶

Concepts to review before next class:

• Expressions: What type of data do they return?

• Try typing simple math formula to the Python interpreter:

>>> 1 + 2 * 3 / 3 * 4**2 **3 - 3 / 3*4

and manually find the output. Don’t be fooled by the spaces! Operator precedence is in effect. Try writing your own expressions.
• Variables: Do you know what are valid and invalid variable names?

• What is the difference in the output between:

>>> 3 + 4
>>> print 3 + 4
>>> x = 3 + 4
>>> print x
>>> print x = 3+4


Try to guess before typing it in, but make a habit of typing simple statements like this and looking at the result.

• Assignment: Can you trace the value of a variable after many different assignments? Don’t be fooled by the name of variables. Try to do it manually:

>>> one = 2
>>> two = 1
>>> three = 4
>>> one += 3 * two
>>> two -= 3 * one + three


By the way, make a habit of picking nice variable names. Otherwise, I will torture you with questions like this. Your variables should be meaningful whenever possible both to you and to anyone else reading your code.

• Functions: Write the functions from class on your own using the Python interpreter. Try to do it without looking at notes. Can you do it?

• Write a function that returns a value.
• Write a function with no return.
• Write a function where return is not the last statement in the function.
• Call these functions by either printing their result or assigning their results to a value. Here, I’ll get you started.
def regenerate_doctor(doctor_number):
return doctor_number+1

def regenerate_tardis(doctor_number):
print "Tardis is now ready for doctor number", doctor_number

def eliminate_doctor(doctor_number):
return 0
print "You will be eliminated doctor", doctor_number

• Write functions that use the built-in functions. Make sure you memorize what they are and how they are used.
• Finally, write some functions to a file and execute them from within the file. Now, execute the file. Make sure all of this is quite easy to do without consulting the course notes by monday.