Functions - Computing Science
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Transcript Functions - Computing Science
Functions
Introduction to Computing
Science and Programming I
Functions
What you (should) already know about
functions.
Like functions in math, Python functions take input
and return output.
The input for a function is given with arguments.
int(“34”) has the argument “34”
Arguments can be variables or expressions which may
themselves include function calls.
str(x), str(x * 5)
int( raw_input(“Enter a number:”))
Built-In Functions
You’ve learned how to use, “call”, several
of Python’s built-in functions that can be
used in any program.
raw_input(“Enter text: “)
int(35.4), float(45), str(34)
len(“This is a string”)
round(34.6)
Now we will look at how to create and use
our own functions.
Defining Functions
What do we need to include in a function
definition.
Name
List of arguments
Documentation string to describe function
The actual code of the function which will
include…
A return value, the output of the function
Defining Functions
Name
Follows the same rules as variable naming
As with variables, good code style requires
intelligent, descriptive function names
findAverage, loadFile
Don’t give a variable and a function the same
name as this obviously leads to confusion
Defining Functions
List of arguments
A list of arguments define the input that a
function needs
A function may have no arguments
When a function is called, the values specified
in the call are filled in
Arguments can handle any of Python’s data
types
Defining Functions
Documentation String
A special one line comment that describes
what the function does
Good code style requires that you have one of
these lines for every function you define
Defining Functions
Return Value
When a function is complete it will use a
return statement that specifies what value will
be output from the function
Not all functions have output. They may
perform a task, such as printing something to
the screen, that does not have any output
The return value can be any of Python’s data
types (Boolean, Integer…)
Defining Functions
A simple example
def read_integer(prompt):
"""Read an integer from the user and return it."""
input = raw_input(prompt)
return int(input)
Defining Functions
def read_integer(prompt):
"""Read an integer from the user and return it."""
input = raw_input(prompt)
return int(input)
The first line
def read_integer(prompt):
The def keyword is used signal the start of a function definition
Then we have the function name read_integer
Then inside parentheses we have the list of argument
As with a block of code for a loop or if statement, the
lines for the rest of the function are indented
Defining Functions
def read_integer(prompt):
"""Read an integer from the user and return it."""
input = raw_input(prompt)
return int(input)
The first indented line is a triple quoted string.
This is the special type of comment used to
define what the function does.
The remaining lines are the actual code for the
function
Defining Functions
Arguments
The function read_integer has one argument,
prompt
Within the function, prompt acts as a variable
that is initially assigned the value given from
the calling code.
value = read_integer(“Enter a number: “)
When Python enters the function prompt will contain the
string literal “Enter a number: “
Defining Functions
The return statement
Each function will have at least one line of the
form ‘return expression’ When this line of
code is executed the value of the expression
is returned to the calling code.
Once a return statement is reached, no other
code in the function will be executed
Defining Functions
You have to define a function to use it, so you
need to have Python read the definition of the
function before you use it. i.e. Place the
function definition at the top of the file, and the
code that uses it below.
Once you’ve run a file containing a function
definition in the IDLE, then you can use that
function in the interactive interpreter.
Calling Functions
What happens when you call a function?
When Python comes across a function call it must first
evaluate the expressions for the arguments of the
function. This may include other function calls.
The argument values are assigned to the argument
variables inside the function
Execution leaves the current location and enters the
function.
The function’s code is executed until a return
statement, or the end of it’s code.
The return value of the function replaces the function
call in the calling code.
Execution continues
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print “One third of the average is ",value
What happens when we reach this line of
code? Assume n1,n2,n3 have the values
1,2, and 3.
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print “One third of the average is ",value
Python first sees the call to the function str(..),
but it must first evaluate the expression for the
single argument, average(n1,n2,n3) / 3
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print “One third of the average is ",value
Before doing the division Python must get
a value for average(n1,n2,n3) so it
performs the function call.
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print “One third of the average is ",value
The calling line of code is put on hold, and
Python copies the argument values into the
function.
num1 is assigned the value 1 stored in n1, etc.
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print “One third of the average is ",value
We’re now in the function code, so the
value of total is evaluated, 1+2+3 = 6
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print “One third of the average is ",value
We’ve hit the return statement. Python
evaluates the expression, total / 3.0 = 2.0 in this
case. That value will be sent back to the calling
code which has been on hold.
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print “One third of the average is ",value
The return value of average(n1,n2,n3) is
2.0, so that is substituted into the
expression and we have value=str(2.0/3)
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print "One third of the average is ",value
Python evaluates 2.0/3 and sends it to the str()
function. The code again waits for the return
value which is “0.666…67”
That is then assigned to the variable value
Calling A Function
def average(num1,num2,num3):
"""Returns the average of three numbers."""
total = num1+num2+num3
return total / 3.0
n1 = float(raw_input("Enter first number: "))
n2 = float(raw_input("Enter second number: "))
n3 = float(raw_input("Enter third number: "))
value = str( average (n1,n2,n3) / 3)
print "One third of the average is ",value
Now at the final line of code, Python prints
out the value calculated and stored in the
previous line.
Argument/Return Types
In most programming languages, Java, C,
C++, Visual Basic…, when you define a
function you are forced to specify the data
type of each argument and the data type
that is going to be returned.
Python doesn’t have this requirement
which can lead to errors if you are not
careful about what data types you are
using with your functions.
Argument/Return Types
A function in C++
//returns base to the exp power
int power(int base,int exp){
int ans;
ans = 1;
for (int i = 1; i <=exp; i++)
ans = ans * base;
}
return ans;
Don’t worry about understanding everything in the code.
The first word in the first line defines what type of value will be returned,
integer, and the two variables, base and exp, are both of type integer.
C++ will not let you call the function unless you give it arguments of the
proper type. It also will not let a function return a value that isn’t of the
type specified.
Argument/Return Types
Since Python can not check if you are
giving functions input of the proper type,
you will not see problems until runtime.
If you send a function input of the wrong
type it may cause an error that stops the
program while it is running, or it may just
produce incorrect results.
Why Use Functions?
It allows you to write code once and use it in
many places.
You only have to debug the code in the function once.
Once it is working you can use the function without
worrying about it.
If you want to change the functionality, you only have
to change code in one spot
Your code will look cleaner and be more readable
If you are copying the same piece of code to 2 or
more spots in your program, it is likely that putting
into a function is the best option
Why Use Functions?
It can be worthwhile moving code into a
function, even if it will only be called once.
The separation of a task into smaller functions
makes it easier to code/debug and to
understand when you or someone else looks
through the code.
Variable Scope
Variables that are created inside a function are
only available inside that function.
These are called local variables, their scope is the
code inside the function
Variables created outside a function are not
available inside the function
Because of this separation variables inside and
outside of a function with the same name will
not interfere with each other
Variable Scope
You can think of each function as a ‘black box’.
From the outside, you can’t see what it is doing.
From the inside, you can’t see what’s going on
outside.
When writing the function, you don’t have to
worry about anything going on outside. Just
define the input you need and return the proper
output.
When calling the function, just assume you are
give inputs to the ‘black box’ and that it will give
you the right input; there’s no reason to be
concerned with the workings inside.
Variable Scope
def stars(num):
starline = ""
for i in range(num):
starline = starline + "*"
return starline
num = int(raw_input("How many lines should I print? "))
for i in range(num):
print stars(i+1)
An example where variables with the same name, i and num, won’t
interfere with each other because of variable scope
Examples
Function with no arguments and no return
value
Function that prints out the same message
each time
Functions that are used just to break your
code into chunks
Function with no arguments and a return
value
A task that doesn’t depend on input, but does
return a value.
Examples
Function with arguments, but no return
value
Perform a task that requires input to define it,
but has no output, printing to the screen for
example
Functions with arguments and a return
value
Examples
Boolean functions
Don’t forget that functions can return a
Boolean
One situation where this can be useful is if
you have a complicated condition for an if
statement or a while loop. Write a function
that evaluates the condition for you
Example
As mentioned earlier one reason to write
functions is to make it easier to understand.
One situation where this happens is when you
have nested loops. If you’re having trouble
figuring out the logic you need, you might try
moving the inner loop into a function that
“hides” the loop.
Keep the same idea in mind whenever you have
a complex task with or without loops