﻿ Python: Find the list with maximum and minimum length using lambda - w3resource

# Python: Find the list with maximum and minimum length using lambda

## Python Lambda: Exercise-26 with Solution

Write a Python program to find the list with maximum and minimum length using lambda.

Sample Solution:

Python Code :

``````def max_length_list(input_list):
max_length = max(len(x) for x in input_list )
max_list = max(input_list, key = lambda i: len(i))
return(max_length, max_list)

def min_length_list(input_list):
min_length = min(len(x) for x in input_list )
min_list = min(input_list, key = lambda i: len(i))
return(min_length, min_list)

list1 = [[0], [1, 3], [5, 7], [9, 11], [13, 15, 17]]
print("Original list:")
print(list1)
print("\nList with maximum length of lists:")
print(max_length_list(list1))
print("\nList with minimum length of lists:")
print(min_length_list(list1))
``````

Sample Output:

```Original list:
[[0], [1, 3], [5, 7], [9, 11], [13, 15, 17]]

List with maximum length of lists:
(3, [13, 15, 17])

List with minimum length of lists:
(1, [0])
```

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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)```