Algorithm
# Algorithm for Iterating Through Two Lists in Parallel
# 1. Input: Two lists, list1 and list2.
# 2. Check if the lengths of list1 and list2 are the same.
# If not, handle the mismatch appropriately (e.g., stop iteration, pad the shorter list, etc.).
# 3. Use the zip() function to create an iterator that aggregates elements from both lists.
# The zip() function stops when the shorter list is exhausted.
# 4. Iterate over the zipped pairs and process each pair as needed.
# Example Code:
# list1 = [1, 2, 3]
# list2 = ['a', 'b', 'c']
# for item1, item2 in zip(list1, list2):
# # Process the items, e.g., print or perform some operation.
# print(item1, item2)
# Note: The zip() function is a convenient way to iterate through multiple lists in parallel.
# 5. Optionally, if you want to handle different list lengths, consider using itertools.zip_longest()
# instead of zip(). It pads the shorter list with a specified value (default is None).
# Example Code with itertools.zip_longest():
# from itertools import zip_longest
# list1 = [1, 2, 3]
# list2 = ['a', 'b']
# for item1, item2 in zip_longest(list1, list2, fillvalue=None):
# # Process the items, handling the padding with fillvalue.
# print(item1, item2)
Code Examples
#1 Code Example- Python Programing Using zip (Python 3+)
Code -
Python Programming
list_1 = [1, 2, 3, 4]
list_2 = ['a', 'b', 'c']
for i, j in zip(list_1, list_2):
print(i, j)
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Output
2 b
3 c
#2 Code Example- Python Programing Using itertools (Python 2+)
Code -
Python Programming
import itertools
list_1 = [1, 2, 3, 4]
list_2 = ['a', 'b', 'c']
# loop until the short loop stops
for i,j in zip(list_1,list_2):
print(i,j)
print("\n")
# loop until the longer list stops
for i,j in itertools.zip_longest(list_1,list_2):
print(i,j)
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Output
2 b
3 c
1 a
2 b
3 c
4 None
Demonstration
Python Programing Example to Iterate Through Two Lists in Parallel-DevsEnv