In Python security, how do I use caching?

In Python security, caching can be an important technique to improve performance while protecting sensitive data. By storing frequently accessed data in memory instead of fetching it from a database or performing an expensive computation, you can speed up response times. However, it's crucial to implement caching properly to avoid exposing sensitive information and ensure that stale data is not served to users.

Here’s a simple example using Flask with a caching mechanism:

from flask import Flask from flask_caching import Cache app = Flask(__name__) # Configure Cache cache = Cache(app, config={'CACHE_TYPE': 'simple'}) @app.route('/data') @cache.cached(timeout=60) # Cache this route for 60 seconds def get_data(): # Simulate a time-consuming operation return {'data': 'This is some cached data!'} if __name__ == '__main__': app.run(debug=True)

Python security caching Flask performance optimization

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