Python: Filter a list of integers using Lambda
Python Lambda: Exercise-5 with Solution
Write a Python program to filter a list of integers using Lambda.
Python Code :
nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] print("Original list of integers:") print(nums) print("\nEven numbers from the said list:") even_nums = list(filter(lambda x: x%2 == 0, nums)) print(even_nums) print("\nOdd numbers from the said list:") odd_nums = list(filter(lambda x: x%2 != 0, nums)) print(odd_nums)
Original list of integers: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] Even numbers from the said list: [2, 4, 6, 8, 10] Odd numbers from the said list: [1, 3, 5, 7, 9]
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Test for a single number:
Python Code :
print((lambda x: (x % 2 and 'Odd number' or 'Even number'))(5)) print((lambda x: (x % 2 and 'Odd number' or 'Even number'))(8))
Odd number Even number
Python Code Editor:
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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())
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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