19. Cache Memory.py

# Sure! Here's an example Python code for a simple cache implementation using a dictionary:
cache = {}

def get_data(key):
    # Check if the data is already in the cache
    if key in cache:
        print(f"Retrieving data for key {key} from cache")
        return cache[key]
    else:
        # If the data is not in the cache, retrieve it from a data source
        data = retrieve_data_from_source(key)
        # Store the data in the cache
        cache[key] = data
        print(f"Retrieving data for key {key} from data source")
        return data

def retrieve_data_from_source(key):
    # Code to retrieve data from a data source
    return f"Data for key {key}"

# Test the cache
print(get_data(1))
print(get_data(2))
print(get_data(1))

# In this example, the cache dictionary stores the cached data, and the get_data function retrieves the data either from the cache or a data source if the data is not in the cache. When the data is retrieved from the data source, it is stored in the cache for future use. The retrieve_data_from_source function simulates retrieving data from a data source.

# When the code is run, the output will be:
Retrieving data for key 1 from data source
Data for key 1
Retrieving data for key 2 from data source
Data for key 2
Retrieving data for key 1 from cache
Data for key 1

# As you can see, the first time get_data is called for each key, the data is retrieved from the data source and stored in the cache. The second time get_data is called for key 1, the data is retrieved from the cache.