python cache example

Python Cache Example

Python cache is a technique that stores frequently accessed data in a memory location, which improves the performance of applications by reducing the number of times data needs to be read from the disk or processed by methods.

How to implement Python cache?

There are several ways to implement Python cache, one of which is by using the LRU cache decorator provided by the functools module.

import functools

@functools.lru_cache(maxsize=128)
def fibonacci(n):
    if n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        return fibonacci(n-1) + fibonacci(n-2)

In this example, we are using the LRU cache decorator to store the result of the fibonacci function for up to 128 values. If the same value is requested again, it will be returned from the cache instead of being recalculated.

How to implement Python cache using dictionary?

We can also implement Python cache using a dictionary. In this approach, we store the result of a function in a dictionary with the function arguments as the key.

cache = {}

def fibonacci(n):
    if n in cache:
        return cache[n]
    elif n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        result = fibonacci(n-1) + fibonacci(n-2)
        cache[n] = result
        return result

In this example, we are storing the result of the fibonacci function in a dictionary called cache. If the same value is requested again, it will be returned from the cache instead of being recalculated.

Conclusion

Python cache is a powerful technique for optimizing the performance of applications. By storing frequently accessed data in a memory location, we can reduce the number of times data needs to be read from the disk or processed by methods. We can implement Python cache using a variety of techniques, including the LRU cache decorator and a dictionary.