Python: Sort each sublist of strings in a given list of lists using lambda
Python Lambda: Exercise-27 with Solution
Write a Python program to sort each sublist of strings in a given list of lists using lambda.
Python Code :
def sort_sublists(input_list): result = [sorted(x, key = lambda x:x) for x in input_list] return result color1 = [["green", "orange"], ["black", "white"], ["white", "black", "orange"]] print("\nOriginal list:") print(color1) print("\nAfter sorting each sublist of the said list of lists:") print(sort_sublists(color1))
Original list: [['green', 'orange'], ['black', 'white'], ['white', 'black', 'orange']] After sorting each sublist of the said list of lists: [['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]
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Previous: Write a Python program to create the next bigger number by rearranging the digits of a given number.
Next: Write a Python program to sort a given list of lists by length and value using lambda.
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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())
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)
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