Python Mutable References with Caching (opens in new tab)

So, while working with caching and scrapping, I understood the difference between immutable and mutable objects/datatypes very clearly. I had a scenario, where I am webscraping an API, the code looks like this. from aiocache import cached @cached(ttl=7200) async def get_forecast(station_id: str) -> list[dict]: data: dict = await scrape_weather(station_id) # doing some operation return forecasts and then using this utility tool in the endpoint. async def get_forecast_by_city( param: Annotated[StationIDQuery, Query()], ) -> list[UpcomingForecast]: forecasts_dict: list[dict] = await get_forecast(param.station_id) forecasts_dict.reversed() forecasts: deque[UpcomingForecast] = deque([]) for forecast in forecasts_dict: date_delta: int = ( date.fromisoformat(forecast["forecast_date"]) - date.today() ).days if date_delta <= 0: break forecasts.appendleft(UpcomingForecast.model_validate(forecast)) return list(forecasts) But, here is the gotcha, something I was doing inherently wrong. Lists in python are mutable objects. So, reversing the list modifies the list in place, without creating a new reference of the list. My initial approach was to do this