This tutorial will teach you how to write **one-line for loops** in Python using the popular expert feature of * list comprehension*. After you’ve learned the basics of list comprehension, you’ll learn how to restrict list comprehensions so that you can write custom filters quickly and effectively.

Are you ready? Let’s roll up your sleeves and learn about list comprehension in Python!

## List Comprehension Basics

The following section is based on my detailed article ** List Comprehension [Ultimate Guide]**. Read the shorter version here or the longer version on the website—you decide!

This overview graphic shows how to use list comprehension statement to create Python lists programmatically:

List comprehension is a compact way of creating lists. The simple formula is `[expression + context]`

.

**Expression:**What to do with each list element?**Context:**What elements to select? The context consists of an arbitrary number of`for`

and`if`

statements.

The example `[x for x in range(3)]`

creates the list `[0, 1, 2]`

.

Have a look at the following interactive code snippet—can you figure out what’s printed to the shell? Go ahead and click “Run” to see what happens in the code:

**Exercise**: Run the code snippet and compare your guessed result with the actual one. Were you correct?

Now, that you know about the basics of list comprehension (expression + context!), let’s dive into a more advanced example where list comprehension is used for filtering by adding an if clause to the context part.

## List Comprehension for Filtering (using If Clauses)

You can also modify the list comprehension statement by restricting the context with another if statement:

**Problem**: Say, we want to create a list of squared numbers—but you only consider even and ignore odd numbers.

**Example**: The multi-liner way would be the following.

squares = [] for i in range(10): if i%2==0: squares.append(i**2) print(squares) # [0, 4, 16, 36, 64]

You create an empty list `squares`

and successively add another square number starting from 0**2 and ending in 8**2—but only considering the even numbers 0, 2, 4, 6, 8. Thus, the result is the list `[0, 4, 16, 36, 64]`

.

Again, you can use list comprehension `[i**2 for i in range(10) `

with a restrictive if clause (in bold) in the context part to compress this in a single line of Python code:**if i%2==0**]

print([i**2 for i in range(10) if i%2==0]) # [0, 4, 16, 36, 64]

This line accomplishes the same output with much less bits.

**Related Article**: Python One Line For Loop

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## Where to Go From Here?

Enough theory. Let’s get some practice!

Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.

To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?

**You build high-value coding skills by working on practical coding projects!**

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🚀 If your answer is ** YES!**, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.

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While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.

To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.

His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.