Skip to main content
Chapter 01
Functions
New
syllabus
2024-25
Function Introduction
A function is a programming block of codes which
is used to perform a single, related task. It only runs
when it is called. We can pass data, known as
parameters, into a function. A function can return
data as a result.
We have already used some python built in
functions like print(), etc and functions defined in
module like math.pow(),etc. But we can also create
our own functions. These functions are called user-
defined functions.
Advantages of Using functions:
1. Program development made easy and fast : Work can be
divided among project members thus implementation can be
completed fast.
2. Program testing becomes easy : Easy to locate and isolate
a faulty function for further investigation
2. Code sharing becomes possible : A function may be used
later by many other programs this means that a python
programmer can use function written by others, instead of
starting over from scratch.
2. Code re-usability increases : A function can be used to keep
away from rewriting the same block of codes which we
are going use two or more locations in a program. This is
especially useful if the code involved is long or complicated.
Advantages of Using functions:
2. Increases program readability : The length of the
source program can be reduced by using/calling
functions at appropriate places so program become
more readable.
3. Function facilitates procedural abstraction : Once a
function is written, programmer would have to know to
invoke a function only ,not its coding.
4. Functions facilitate the factoring of code : A function
can be called in other function and so on…
Types of functions:
1.Built- in functions
2.Functions defined in module
3.User defined functions
1). Built-in Functions:
Functions which are already written or defined in python.
As these functions are already defined so we do not need
to define these functions. Below are some built-in
functions of Python.
Function name Description
len()
list()
max()
min()
open()
print()
str()
sum()
type()
tuple()
It returns the length of an object/value. It
returns a list.
It is used to return maximum value from a sequence (list,sets) etc.
It is used to return minimum value from a sequence (list,sets) etc.
It is used to open a file.
It is used to print statement.
It is used to return string object/value.
It is used to sum the values inside sequence. It
is used to return the type of object.
It is used to return a tuple.
2). Functions defined in module:
A module is a file consisting of Python code.
A module can define functions, classes and variables.
Save this code in a file named mymodule.py
def greeting(name):
print("Hello, " + name)
Import the module named mymodule, and call the greeting function:
import mymodule
mymodule.greeting(“India")
3). User defined function:
Functions that we define ourselves to do certain
specific task are referred as user-defined functions
because these are not already available.
Creating & calling a Function (user defined)
/Flow of execution
A function is defined using the
python. E.g. program is given below
.
def keyword in
def my_own_function():
print("Hello from a function")
#program start here.
print("hello before calling a function")
my_own_function() #function calling.now function codes will be executed
print("hello after calling a function")
Save the above source code in python file and execute it
#Function block/
definition/creation
Variable’s Scope in function
There are three types of variables with the view of scope.
1. Local variable – accessible only inside the functional block where it is declared.
2. Global variable – variable which is accessible among whole program using
global keyword.
3. Non local variable – accessible in nesting of functions,using nonlocal keyword.
Local variable program:
def fun():
s = "I love India!"
print(s)
s = "I love World!"
fun()
print(s)
Output:
I love India!
I love World!
Global variable program:
def fun():
global s #accessing/making global variable for fun()
print(s)
s = "I love India!“ #changing global variable’svalue
print(s)
s = "I love world!"
fun()
print(s)
Output:
I love world!
I love India!
I love India!
Guess me!
Guess me!
Variable’s Scope in function
#Find the output of below program
def fun(x, y):
global a
a = 10
x,y = y,x
b = 20
b = 30
c = 30
print(a,b,x,y)
a, b, x, y = 1, 2, 3,4
fun(50, 100)
print(a, b, x, y)
#Find the output of below program
def fun(x, y):
global a
a = 10
x,y = y,x
b = 20
b = 30
c = 30
print(a,b,x,y)
a, b, x, y = 1, 2, 3,4
fun(50, 100)
print(a, b, x, y)
Variable’s Scope in function
Variable’s Scope in function
Global variables in nested function
OUTPUT:
Before calling fun2 : 100
Inside fun2 x= 200
After calling fun2 : 100
x in main: 200
GuessMe!
Variable’s Scope in function
Non local variable
OUTPUT:
Inside fun2 x= 200
Before calling fun2: 100
After calling fun2: 200
x in main: 50
GuessMe!
Function
Parameters / Arguments Passing and return value
These are specified after the function name, inside the parentheses.
Multiple parameters are separated by comma.The following example has a
function with two parameters x and y
. When the function is called, we pass
two values, which is used inside the function to sum up the values and store
in z and then return the result(z):
def sum(x,y): #x, y are formal arguments
z=x+y
return z #return the value/result
x,y=4,5
r=sum(x,y) #x, y are actual arguments
print(r)
Note :- 1. Function Prototype is declaration of function with
name, argument and return type.
2. A formal parameter, i.e. a parameter, is in the function
definition. An actual parameter, i.e. an argument, is in a
function call.
Function
Function Arguments
Functions can becalled using following types of formal arguments −
• Required arguments/Positional parameter - arguments passed in correct positional order
• Keyword arguments - the caller identifies the arguments by the parameter name
• Default arguments - that assumes a default value if a value is not provided to argu.
• Variable-length arguments – pass multiple values with single argument name.
#Required arguments
def square(x):
z=x*x
return z
r=square()
print(r)
#In above function square() we have to
definitely need to pass some value to
argument x.
#Keyword arguments
def fun( name, age ):
"This prints a passed info into this
function"
print ("Name: ", name)
print ("Age ", age)
return;
# Now you can call printinfo function
fun( age=15, name="mohak" )
# value 15 and mohak is being passed to
relevant argument based on keyword
used for them.
Function
#Default arguments /
#Default Parameter
def sum(x=3,y=4):
z=x+y
return z
r=sum()
print(r)
r=sum(x=4)
print(r)
r=sum(y=45)
print(r)
#default value of x and y is being
used when it is not passed
#Variable length arguments
def sum( *vartuple ):
s=0
for var in vartuple:
s=s+int(var)
return s;
r=sum( 70, 60, 50 )
print(r)
r=sum(4,5)
print(r)
#now the above function sum() can
sum n number of values
Lamda
Python Lambda
A lambda function is a small anonymous function which can
take any number of arguments, but can only have one
expression. helpful when you want to pass a function as an
argument
Syntax : lambda arguments: expression
E.g.
x = lambda a, b : a * b
print(x(5, 6))
OUTPUT:
30
Mutable/immutable
properties
of data objects w/r function
Everything in Python is an object,and every objects in Python
can be either mutable or immutable.
Since everything in Python is an Object, every variable
holds an object instance. When an object is initiated, it is
assigned a unique object id. Its type is defined at runtime
and once set can never change, however its state can be
changed if it is mutable.
Means a mutable object can be changed after it is created,
and an immutable object can’t.
Mutable objects: list, dict, set, byte array
Immutable objects: int, f loat, complex,
frozen set ,bytes
string, tuple,
Mutable/immutable properties
of data objects w/r function
How objects are passed to Functions
#Pass by reference
def updateList(list1):
print(id(list1))
list1 += [10]
print(id(list1))
n = [50, 60]
print(id(n))
updateList(n)
print(n)
print(id(n))
OUTPUT
34122928
34122928
34122928
[50, 60, 10]
34122928
#In above function list1 an object is being passed
and its contents are changing because it is mutable
that’s why it is behaving like pass by reference
Visit : python.mykvs.in for regular updates
#Pass by value
def updateNumber(n):
print(id(n))
n += 10
print(id(n))
b = 5
print(id(b))
updateNumber(b)
print(b)
print(id(b))
OUTPUT
1691040064
1691040064
1691040224
5
1691040064
#In above function value of variable b is not
being changed because it is immutable that’s
why it is behaving like pass by value
Functions using
libraries
Mathematical functions:
Mathematical functions are available under math module.To
use mathematical functions under this module, we have to
import the module using import math.
For e.g.
To use sqrt() function we have to write statements like given
below
.
import math
r=math.sqrt(4)
print(r)
OUTPUT :
2.0
Visit : python.mykvs.in for regular updates
Functions using libraries
Functions available in Python Math Module
Visit : python.mykvs.in for regular updates
Functions using libraries
(System defined function)
String functions:
String functions are available in python standard module.These
are always availble to use.
For e.g. capitalize() function Converts the first character of
string to upper case.
s="i love programming"
r=s.capitalize()
print(r)
OUTPUT:
I love programming
Visit : python.mykvs.in for regular updates
Functions using libraries
String functions:
Visit : python.mykvs.in for regular updates
Method Description
capitalize()
casefold()
center()
count()
encode()
endswith()
find()
format()
index()
Converts the first character to upper case
Converts string into lower case
Returns a centered string
Returns the number of times a specified value occurs in a string
Returns an encoded version of the string
Returns true if the string ends with the specified value
Searches the string for a specified value and returns the position of
where it was found
Formats specified values in a string
Searches the string for a specified value and returns the position of
where it was found
Functions using libraries
String functions:
Visit : python.mykvs.in for regular updates
Method Description
isalnum()
isalpha()
isdecimal()
isdigit()
isidentifier()
islower()
isnumeric()
isprintable()
isspace()
istitle()
isupper()
join()
ljust()
lower()
lstrip()
partition()
Returns True if all characters in the string are alphanumeric
Returns True if all characters in the string are in the alphabet
Returns True if all characters in the string are decimals
Returns True if all characters in the string are digits
Returns True if the string is an identifier
Returns True if all characters in the string are lower case
Returns True if all characters in the string are numeric
Returns True if all characters in the string are printable
Returns True if all characters in the string are whitespaces
Returns True if the string follows the rules of a title
Returns True if all characters in the string are upper case
Joins the elements of an iterable to the end of the string
Returns a left justified version of the string
Converts a string into lower case
Returns a left trim version of the string
Returns a tuple where the string is parted into three parts
Functions using libraries
String functions:
Visit : python.mykvs.in for regular updates
Method Description
replace()
split()
splitlines()
startswith()
swapcase()
title()
translate()
upper()
zfill()
Returns a string where a specified value is replaced with a specified
value
Splits the string at the specified separator, and returns a list
Splits the string at line breaks and returns a list
Returns true if the string starts with the specified value
Swaps cases, lower case becomes upper case and vice versa
Converts the first character of each word to upper case
Returns a translated string
Converts a string into upper case
Fills the string with a specified number of 0 values at the beginning