15 Python Tricks That Make Your Code Cleaner, Faster, and More Pythonic

From swapping variables to unpacking data, eliminating unnecessary loops, and writing cleaner data-science code

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If you use Python for Data Science, Machine Learning, automation, interviews, or backend development, you have probably noticed something unusual about the language:

Python often has a much shorter way of doing something than the way you first learned it.

A beginner might write 5–6 lines of code to solve a problem.

An experienced Python developer may write one.

The difference isn’t always about knowing obscure syntax. More often, it comes down to understanding Python’s built-in abstractions.

For example, consider swapping two variables.

The traditional approach is:

a = 10
b = 20

temp = a
a = b
b =…