List Comprehension

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 List Comprehension

List Comprehension is a concise way to create lists in Python using a single line of code. It makes code cleaner, faster, and more readable compared to traditional loops.

✅ Basic Syntax:

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[expression for item in iterable]

🔁 Example 1:

Create a list of squares from 1 to 5:

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squares = [x**2 for x in range(1, 6)]

# Output: [1, 4, 9, 16, 25]

➕ With Condition:

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even = [x for x in range(10) if x % 2 == 0]

# Output: [0, 2, 4, 6, 8]

🧠 Nested List Comprehension:

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matrix = [[i * j for j in range(1, 4)] for i in range(1, 4)]

# Output: [[1, 2, 3], [2, 4, 6], [3, 6, 9]]

🔄 Using Functions:

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names = ["alice", "bob", "charlie"]

capitalized = [name.capitalize() for name in names]

# Output: ['Alice', 'Bob', 'Charlie']

⚡ Benefits:

Shorter and cleaner code

Faster execution than for-loops in many cases

Easier to read when used correctly

⚠️ Be Careful:

Avoid making list comprehensions too complex. If logic is hard to follow, use regular loops for better readability.

Conclusion:

List comprehensions are a Pythonic way to work with data transformations, filters, and loops in a single line. Use them to write elegant and efficient code!

Learn More

Sets

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Dictionaries

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