Some say Python is beautiful. 

 But list comprehensions? That’s where the real glow-up happens. 😎

If you’re still writing multi-line for loops to build lists, here’s your sign to level up.

Let’s take a real example:

💥 Goal: Filter even numbers from a list and square them.

We’ll show it: 

 1️⃣ The old-school way (plain for loop) 

 2️⃣ The new-school way (list comprehension) 

 3️⃣ Performance test using time it for both versions

Benefits:

✅ Fewer lines 

✅ More readable 

✅ Slight speed boost 

✅ 100% more Pythonic

At @Techlusion, we help teams refactor for clarity, performance, and scalability — because clean code isn’t just aesthetic, it’s efficient.

Whether you’re building data pipelines, ML tools, or APIs — list comprehensions save time (literally and cognitively).

Over to You:

What’s your favorite Python one-liner or list comp use case? 

 👇 Drop it below — let’s swap dev magic.