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How to Use Environment Variables in Python Projects

When building real-world Python applications, managing sensitive data like API keys, database credentials, or secret tokens securely is crucial. Hardcoding these values in your code is risky—especially when working in teams or deploying to production.

That’s where environment variables come in. They help you manage configurations outside of your source code, making your projects safer, cleaner, and easier to maintain.

What Are Environment Variables?

Environment variables are key-value pairs stored outside your code, typically in your operating system or .env file. Python can read these variables at runtime, allowing you to separate secrets and configurations from your logic.

Why Use Environment Variables?

Using Environment Variables in Python

Python’s built-in os module makes it easy to read environment variables.

Example:

python

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import os

api_key = os.getenv(“API_KEY”)

print(f”Using API Key: {api_key}”)

If the API_KEY variable is not set, os.getenv() will return None.

Setting Environment Variables

1. Temporarily (on the command line)

Linux/macOS:

bash

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export API_KEY=’your-secret-key’

python your_script.py

Windows (CMD):

cmd

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set API_KEY=your-secret-key

python your_script.py

2. Using a .env File with python-dotenv

Create a .env file:

ini

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API_KEY=your-secret-key

DEBUG=True

Install the python-dotenv package:

bash

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pip install python-dotenv

Load the .env file in your Python code:

python

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from dotenv import load_dotenv

import os

load_dotenv()

api_key = os.getenv(“API_KEY”)

Best Practices

python

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debug_mode = os.getenv(“DEBUG”, “False”) == “True”

Practice Challenge

  1. Create a .env file with:

ini

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DB_USER=admin

DB_PASS=secure123

  1. Write Python code to read these values using dotenv.

This hands-on task will help you understand how to manage secrets the right way.

Build Smarter Projects, Safer

Using environment variables is one of the first steps toward writing secure and scalable Python applications. Whether you’re working on Flask, Django, or data pipelines—this habit will pay off in every project.

👉 Learn how to apply these skills in real-world projects at https://www.thefullstack.co.in/courses/

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