For loops, in general, are used for sequential traversal. It falls under the category of definite iteration. Definite iterations mean the number of repetitions is specified explicitly in advance. But have you ever wondered, what happens, if you try to increment the value of the iterator from inside the for loop. Let’s see with the help of the below example.
Example:
Python3
lis = [ 1 , 2 , 3 , 4 , 5 ]
for i in range ( len (lis)):
print (lis[i])
i + = 2
|
Output:
1
2
3
4
5
The above example shows this odd behavior of the for loop because the for loop in Python is not a convention C style for loop, i.e., for (i=0; i<n; i++) rather it is a for in loop which is similar to for each loop in other languages. However, there are few methods by which we can control the iteration in the for loop. Some of them are –
- Using While loop: We can’t directly increase/decrease the iteration value inside the body of the for loop, we can use while loop for this purpose.
Example:
Python
lis = [ 1 , 2 , 3 , 4 , 5 ]
i = 0
while (i < len (lis)):
print (lis[i], end = " " )
i + = 2
|
Output:
1 3 5
Time complexity: O(n/2) = O(n), where n is the length of the list.
Auxiliary space: O(1), as we are not using any extra data structure, only one variable (i) is being used.
- Using another variable: We can use another variable for the same purpose because after every iteration the value of loop variable is re-initialized.
Example:
Python
lis = [ 1 , 2 , 3 , 4 , 5 ]
i = 0
for j in range ( len (lis)):
if (i > = len (lis)):
break
print (lis[i], end = " " )
i + = 2
|
1 3 5
-
- Using Range Function: We can use the range function as the third parameter of this function specifies the step.
Note: For more information, refer to Python range() Function.
Example:
Python3
lis = [ 1 , 2 , 3 , 4 , 5 ]
for i in range ( 0 , len (lis), 2 ):
print (lis[i], end = " " )
|
1 3 5
Whether you're preparing for your first job interview or aiming to upskill in this ever-evolving tech landscape,
GeeksforGeeks Courses are your key to success. We provide top-quality content at affordable prices, all geared towards accelerating your growth in a time-bound manner. Join the millions we've already empowered, and we're here to do the same for you. Don't miss out -
check it out now!
Last Updated :
24 Feb, 2023
Like Article
Save Article