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If your functions accept five dictionaries, your architecture already has a problem.

Stop Passing Dictionaries Everywhere in Python

Your code works. But it’s slowly turning into an untyped, undocumented mess.

3 min read6 days ago

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You’ve seen it. Maybe you’ve written it.

def process_user(data):
name = data["name"]
age = data["age"]
email = data["email"]
is_active = data.get("is_active", False)
...

Then somewhere else:

user_data = {
"name": "Aashish",
"age": 27,
"email": "aashish@example.com",
"is_active": True
}

process_user(user_data)

Seems harmless.

Until six months later when someone adds "phone_number" in one place but forgets to update three others.

Now your “flexible” dictionary has become a liability.

Let’s talk about why passing dictionaries everywhere is hurting your Python code — and what to do instead.

The Hidden Cost of “Just Use a Dict”

Dictionaries feel convenient because they’re:

  • Flexible
  • Easy to create

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Aashish Kumar

Written by Aashish Kumar

Hi, I’m Aashish Kumar, a passionate software engineer from India 🇮🇳, specialize in Python | Django | AI | LLM | Full Stack Development.

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