In Python scientific computing, how do I handle configuration and secrets?

In Python scientific computing, managing configuration settings and sensitive information securely is crucial. Configuration settings might include parameters for data processing, while secrets usually refer to API keys, passwords, and other sensitive credentials.

To handle configuration and secrets in Python, consider using environment variables, configuration files, or libraries specifically designed for this purpose.

Below is an example of how to use environment variables to manage configuration and secrets:

import os # Load configuration from environment variables DATABASE_URL = os.getenv('DATABASE_URL') API_KEY = os.getenv('API_KEY') def connect_to_database(): # Use the DATABASE_URL to connect to your database pass def fetch_data(): # Use the API_KEY to authenticate requests pass

Python scientific computing configuration management secrets handling environment variables

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