Classes in Python? Only When They Actually Make Sense
cuts through the object-oriented programming dogma that's infected Python development. This article argues that cramming classes into every Python script doesn't make you a better programmer—it makes your code unnecessarily complex and harder to maintain.
First, a confession: You don’t need classes for every random script
I used to wrap everything in classes—API endpoints, data pipelines, even tiny one-off scripts. It felt professional. It felt clean. It felt... unnecessary after a while.
The Class Obsession: How It All Starts
We're programmed (pun intended) to see classes as the gold standard:
__init__
, inheritance, encapsulation—the holy trinity.- Before you know it, you're writing
class User
just to store two attributes. But in many everyday cases—scripts, glue code, straightforward automations—this is overkill.
What’s Your Lightweight Weapon? Functions & Modules
Instead of bloated class structures, we can pivot to simpler patterns:
- Plain functions inside modules: keep related logic grouped without ceremony.
- Modules as namespaces: just organize by file and let the code breathe. Resist the urge to over-engineer by default.
When Classes Still Earn Their Keep
That said, classes aren’t inherently evil. They're perfect when:
- You're modeling objects with both state and behavior, e.g., game characters or GUI components.
- You're defining custom exceptions, the classic justified class use case.
- You need a domain model with clear relationships and responsibilities.
- You’re in a larger codebase where structure helps readability and maintenance.
What the Broader Python Community Thinks
“Classes aren’t outright bad, but I cringe when I see them overused... simpler data structures and functions are often clearer.” — Hacker News commenter oai_citation:0‡Hacker News
Meanwhile, a 2022 study found Python developers do lean heavily on OO (especially in bigger projects), but it's not the only style in play. Functional or procedural coding still shows up across the ecosystem. oai_citation:1‡arXiv
The Balanced Takeaway
- Reflexively writing classes? Stop it. Think: Does this task need state or shared behavior? If not—function, not class.
- Want boilerplate gone, 200% readability up? Consider
@dataclass
. Your__init__
,__repr__
, and__eq__
—handled. Elegance: unlocked. (Bonus: less spaghetti, more clarity.) oai_citation:2‡Dev Genius
TL;DR (Without the Class Overhead)
Scenario | Go For It? | Better Alternative |
---|---|---|
Storing a few attributes | Standalone function or dict/module | |
Modeling a GUI/window or game item | Yes, suitable for classes | |
Custom error types | Yes, classes are ideal for exceptions | |
Fully boiled-down model with plain data | @dataclass does wonders |
Use classes like you’d use a scalpel, not a sledgehammer—and your code (and sanity) will thank you.
Enjoyed this post?
Subscribe to get notified when I publish new content about web development and technology.