Stop Forcing OOP on Python Beginners

I’ve seen it happen time and again. A bright newcomer, excited to build something with Python, posts their first project online. It works. The logic is clean. But within minutes, someone tells them they should have used a class. That their code is unstructured. That real Python development means thinking in objects.

And that’s where the trouble starts.

For years, Python’s community has lovingly pushed OOP as the gold standard. But honestly? That obsession often does more harm than good to people just getting started.

The problem with forcing OOP on beginners

When someone is new to programming, their brain is already juggling syntax, logic, debugging, and a dozen other concepts. Adding abstraction, inheritance, and polymorphism on top of that can be overwhelming. I’ve watched people give up because they felt they “had to” write a class for everything — even a simple script that reads a file and prints a few lines.

Think about it. Python itself was designed to be readable and quick to prototype. Guido van Rossum didn’t say “thou shalt write classes first.” Yet somewhere along the way, we started treating procedural code as somehow inferior.

Real-world code doesn’t always need a class

At PythonSkillset, we often get questions like: “Do I need a class for a script that scrapes three websites?” Nine times out of ten, the answer is no. A few well-named functions and a tidy main block will serve you better. They’re easier to understand, easier to debug, and easier to change later.

Here’s an example I see all the time. A beginner writes:

def get_user_data(user_id):
    # fetch from API
    return data

def save_to_file(data, filename):
    # write to disk
    pass

user = get_user_data(42)
save_to_file(user, "output.txt")

It works perfectly. Then someone insists on making a UserDataProcessor class with a loader method and a saver method. The functionality is identical. The readability? Worse. And the newcomer learns that they “must” use OOP even when it adds zero value.

The dogma creates unnecessary hurdles

Python’s flexibility is one of its greatest strengths. You can mix paradigms. You can start procedural and refactor into OOP later. You can use objects from libraries without defining your own classes. That freedom is what makes Python so approachable.

But when mentors and tutorials present OOP not as a tool but as a rule, they shut down that freedom. Newcomers start second-guessing themselves. They think their simple code is “wrong.” They spend hours trying to force a square peg into a round object-oriented hole.

Don’t take my word for it — look at the ecosystem

Some of Python’s most powerful libraries are barely OOP. Look at requests. It has a Session class, sure, but most tutorials start with requests.get(url) — a clean, procedural function. Look at matplotlib. People use pyplot.plot(), not a Plot object. Even seaborn is built on functional calls.

These libraries are loved because they don’t force you to think in objects. They let you focus on the outcome.

What we should teach instead

If you’re mentoring someone new, here’s a better approach:

• Start with functions and simple scripts. Let them see results quickly.
• Introduce classes only when there’s a clear need — like when you have state that many functions share, or when you’re building a library that others will extend.
• Show them that procedural and functional styles are perfectly valid. Python’s own itertools, functools, and built-in functions prove this point daily.

At PythonSkillset, we’ve seen that newcomers who learn Python in a paradigm-neutral way tend to grow faster. They understand why OOP exists, not just that they’re supposed to use it.

The takeaway

Python’s OOP dogmatism isn’t helping. It’s scaring away people who could become excellent developers. The next time you see a newcomer’s procedural code, instead of saying “you should use a class,” ask them what they’re trying to do. If a straightforward function does the job, celebrate that. There’s no shame in simple code.

Python is a tool for building things. Let’s not turn it into a religion.