In Python data analysis, how do I handle configuration and secrets?

In Python data analysis, managing configuration and secrets is crucial for maintaining security and ensuring that your application is adaptable to different environments. Utilizing tools like environment variables, configuration files, and secret management services can help streamline this process.
Python, Data Analysis, Configuration Management, Secrets Management, Environment Variables, Config Files, Secure Coding
# Example of managing configurations in Python import os import json # Load configuration from a JSON file def load_config(config_file='config.json'): with open(config_file) as file: return json.load(file) # Retrieve secret from environment variable def get_secret(secret_name): return os.getenv(secret_name) config = load_config() database_url = get_secret('DATABASE_URL') print("Database URL:", database_url)

Python Data Analysis Configuration Management Secrets Management Environment Variables Config Files Secure Coding

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