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Python: Check whether a specified list is sorted or not using lambda

Python Lambda: Exercise-35 with Solution

Write a Python program to check whether a specified list is sorted or not using lambda.

Sample Solution:

Python Code :

def is_sort_list(nums, key=lambda x: x):
    for i, e in enumerate(nums[1:]):
        if key(e) < key(nums[i]): 
            return False
    return True
nums1 = [1,2,4,6,8,10,12,14,16,17]
print ("Original list:")
print(nums1)
print("\nIs the said list is sorted!")
print(is_sort_list(nums1)) 
nums2 = [2,3,8,4,7,9,8,2,6,5,1,6,1,2,3,4,6,9,1,2]
print ("\nOriginal list:")
print(nums1)
print("\nIs the said list is sorted!")
print(is_sort_list(nums2))

Sample Output:

Original list:
[1, 2, 4, 6, 8, 10, 12, 14, 16, 17]

Is the said list is sorted!
True

Original list:
[1, 2, 4, 6, 8, 10, 12, 14, 16, 17]

Is the said list is sorted!
False

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Previous: Write a Python program to filter the height and width of students, which are stored in a dictionary using lambda.
Next: Write a Python program to extract the nth element from a given list of tuples using lambda.

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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)