Looping Techniques in Python
Last Updated :
19 Sep, 2023
Python supports various looping techniques by certain inbuilt functions, in various sequential containers. These methods are primarily very useful in competitive programming and also in various projects that require a specific technique with loops maintaining the overall structure of code. A lot of time and memory space is been saved as there is no need to declare the extra variables which we declare in the traditional approach of loops.
Where they are used?
Different looping techniques are primarily useful in places where we don’t need to actually manipulate the structure and order of the overall containers, rather only print the elements for a single-use instance, no in-place change occurs in the container. This can also be used in instances to save time.
Different looping techniques using Python data structures are:
Way 1: Using enumerate(): enumerate() is used to loop through the containers printing the index number along with the value present in that particular index.
Python3
for key, value in enumerate(['The', 'Big', 'Bang', 'Theory']):
print(key, value)
|
Output:
0 The
1 Big
2 Bang
3 Theory
Python3
for key, value in enumerate(['Geeks', 'for', 'Geeks',
'is', 'the', 'Best',
'Coding', 'Platform']):
print(value, end=' ')
|
Output:
Geeks for Geeks is the Best Coding Platform
Way 2: Using zip(): zip() is used to combine 2 or more containers printing the values sequentially. The loop exists only till the smaller container ends. A detailed explanation of zip() and enumerate() can be found here.
Example 1: Two different data type(list,tuple)
Python
names = ['Deep', 'Sachin', 'Simran']
ages = (24, 27, 25)
for name, age in zip(names, ages):
print('Name: ', name)
print('Age: ', age)
print()
|
Output
('Name: ', 'Deep')
('Age: ', 24)
()
('Name: ', 'Sachin')
('Age: ', 27)
()
('Name: ', 'Simran')
('Age: ', 25)
()
Example 2: Two similar datatype list-list
Python3
questions = ['name', 'colour', 'shape']
answers = ['apple', 'red', 'a circle']
for question, answer in zip(questions, answers):
print('What is your {0}? I am {1}.'.format(question, answer))
|
Output:
What is your name? I am apple.
What is your color? I am red.
What is your shape? I am a circle.
Way 3: Using iteritem(): iteritems() is used to loop through the dictionary printing the dictionary key-value pair sequentially which is used before Python 3 version.
Way 4: Using items(): items() performs the similar task on dictionary as iteritems() but have certain disadvantages when compared with iteritems().
- It is very time-consuming. Calling it on large dictionaries consumes quite a lot of time.
- It takes a lot of memory. Sometimes takes double the memory when called on a dictionary.
Example 1:
Python3
d = {"geeks": "for", "only": "geeks"}
print("The key value pair using items is : ")
for i, j in d.items():
print(i, j)
|
Output:
The key value pair using iteritems is :
geeks for
only geeks
Example 2:
Python3
king = {'Ashoka': 'The Great', 'Chandragupta': 'The Maurya',
'Modi': 'The Changer'}
for key, value in king.items():
print(key, value)
|
Output
Ashoka The Great
Chandragupta The Maurya
Modi The Changer
Way 5: Using sorted(): sorted() is used to print the container is sorted order. It doesn’t sort the container but just prints the container in sorted order for 1 instance. The use of set() can be combined to remove duplicate occurrences.
Example 1:
Python3
lis = [1, 3, 5, 6, 2, 1, 3]
print("The list in sorted order is : ")
for i in sorted(lis):
print(i, end=" ")
print("\r")
print("The list in sorted order (without duplicates) is : ")
for i in sorted(set(lis)):
print(i, end=" ")
|
Output:
The list in sorted order is :
1 1 2 3 3 5 6
The list in sorted order (without duplicates) is :
1 2 3 5 6
Example 2:
Python3
basket = ['guave', 'orange', 'apple', 'pear',
'guava', 'banana', 'grape']
for fruit in sorted(set(basket)):
print(fruit)
|
Output:
apple
banana
grape
guava
guave
orange
pear
Way 6: Using reversed(): reversed() is used to print the values of the container in the reversed order. It does not reflect any changes to the original list
Example 1:
Python3
lis = [1, 3, 5, 6, 2, 1, 3]
print("The list in reversed order is : ")
for i in reversed(lis):
print(i, end=" ")
|
Output:
The list in reversed order is :
3 1 2 6 5 3 1
Example 2:
Python3
for i in reversed(range(1, 10, 3)):
print(i)
|
Output:
7
4
1
- These techniques are quick to use and reduce coding effort. for, while loops need the entire structure of the container to be changed.
- These Looping techniques do not require any structural changes to the container. They have keywords that present the exact purpose of usage. Whereas, no pre-predictions or guesses can be made in for, while loop i.e not easily understand the purpose at a glance.
- Looping technique makes the code more concise than using for & while looping.
looping techniques while loop using if statements:
In this example, we use a while loop to increment a variable called count. Inside the loop, we use an if statement to check if count is equal to 3. If it is, we print a message.
Approach:
Initialize a count variable to 0
Use a while loop to repeatedly execute a block of code as long as count is less than 5
Inside the loop, use an if statement to check if count is equal to 3
If count is 3, print a message
Increment the count by 1 at the end of each iteration
Python3
count = 0
while count < 5:
if count == 3:
print("Count is 3")
count += 1
|
Time complexity: O(n), where n is the number of iterations required for count to reach 5.
Auxiliary Space: O(1), since only one variable (count) is used throughout the code.
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