🔧 Python Interview Question – Configuration Management Across Modules

Question:
You're working on a Python project with several modules, and you need to make some global configurations accessible across all modules. How would you achieve this?

Options:
a) Use global variables
b) Use the configparser module
c) Use function arguments
d) Use environment variables ✅

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✅ Correct Answer: d) Use environment variables

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💡 Explanation:

When dealing with multiple modules in a project, environment variables are the best way to store and share global configurations like API keys, file paths, and credentials.

They are:
- Secure 🔐
- Easily accessible from any module 🧩
- Ideal for CI/CD and production environments ⚙️
- Supported natively in Python via os.environ

Example:

import os

api_key = os.environ.get("API_KEY")

Pair it with .env files and libraries like python-dotenv for even smoother management.

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❌ Why not the others?

- Global variables: Messy and hard to manage in large codebases.
- configparser: Good for reading config files (`.ini`) but not inherently global or secure.
- Function arguments: Not scalable — you'd have to manually pass config through every function.

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🧠 Tip: Always externalize configs to keep your code clean, secure, and flexible!

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🔍By: https://xn--r1a.website/DataScienceQ