When handling data in Python, it’s common to face a recurring issue: Remove Duplicate Element From a List Using List Comprehension in Python. Duplicate values often appear in lists generated from user input, datasets, or APIs. These repeated entries can cause inaccurate results, increased memory usage, and messy outputs. That’s why removing duplicates is a key part of data cleaning and maintaining code reliability. In Python, several methods exist to tackle this, but one of the cleanest and most readable approaches is using list comprehension. This blog will guide you through how to remove duplicates efficiently using this concise and beginner-friendly method.
What is List Comprehension in Python?
List comprehension is a compact and Pythonic way to create or modify lists using a single line of code. It allows you to iterate over an iterable, apply a condition, and define how the new list should be constructed—all within square brackets. This not only makes the code more readable but also reduces the need for multiple lines of loops.
Syntax:
[expression for item in iterable if condition]
Why Use List Comprehension to Remove Duplicates?
- ✅ Concise and Easy to Understand: You can filter and build a list in one readable line.
- ✅ Preserves Order: Only the first occurrence of each element is kept.
- ✅ Beginner-Friendly: Ideal for learning how iteration and conditional logic work together.
- ✅ Efficient for Small to Medium Lists: Clean solution when working with manageable amounts of data.
This approach combines logic and readability—perfect for scenarios where clean code and clarity are a priority.
Python Program to Remove Duplicate Elements From a List Using list comprehension
# Remove Duplicate Element From a List Using list comprehension in Python
# initializing list
test_list = [1, 3, 5, 6, 3, 5, 6, 1,2,6,4]
print("The original list is : "
+ str(test_list))
# Using list comprehension to remove duplicates from list
res = []
[res.append(x) for x in test_list if x not in res]
# printing list after removal
print ("The list after removing duplicates : "
+ str(res))
Output:
The original list is : [1, 3, 5, 6, 3, 5, 6, 1, 2, 6, 4]
The list after removing duplicates : [1, 3, 5, 6, 2, 4]
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