﻿ Python: Create Fibonacci series upto n using Lambda - w3resource # Python: Create Fibonacci series upto n using Lambda

## Python Lambda: Exercise-10 with Solution

Write a Python program to create Fibonacci series upto n using Lambda.

Sample Solution:

Python Code :

``````from functools import reduce

fib_series = lambda n: reduce(lambda x, _: x+[x[-1]+x[-2]],
range(n-2), [0, 1])

print("Fibonacci series upto 2:")
print(fib_series(2))
print("\nFibonacci series upto 5:")
print(fib_series(5))
print("\nFibonacci series upto 6:")
print(fib_series(6))
print("\nFibonacci series upto 9:")
print(fib_series(9))
``````

Sample Output:

```Fibonacci series upto 2:
[0, 1]

Fibonacci series upto 5:
[0, 1, 1, 2, 3]

Fibonacci series upto 6:
[0, 1, 1, 2, 3, 5]

Fibonacci series upto 9:
[0, 1, 1, 2, 3, 5, 8, 13, 21]
```

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## Python: Tips of the Day

Python: Cache results with decorators

There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.

Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.

```from functools import lru_cache

@lru_cache(maxsize=None)
def fibo(a):
if a <= 1:
return a
else:
return fibo(a-1) + fibo(a-2)

for i in range(20):
print(fibo(i), end="|")

print("\n\n", fibo.cache_info())
```

Output:

```0|1|1|2|3|5|8|13|21|34|55|89|144|233|377|610|987|1597|2584|4181|

CacheInfo(hits=36, misses=20, maxsize=None, currsize=20)```