Nargest_Nsmallest.py

import heapq
nums=[1, 8, 2, 23, 7, -4, 18, 23, 42, 37, 2]

print(heapq.nlargest(3, nums))
print(heapq.nsmallest(3, nums))


portfolio=[{'name':'IBM','shares':100,'price':91.1},
           {'name':'AAPL','shares':50,'price':543.22},
           {'name':'FB','shares':200,'price':21.09},
           {'name':'HPQ','shares':35,'price':31.75},
           {'name':'YHOO','shares':45,'price':16.35},
           {'name':'ACME','shares':75,'price':115.65}]

cheap=heapq.nsmallest(3,portfolio,key=lambdas:s['price'])
expensive=heapq.nlargest(3,portfolio,key=lambdas:s['price'])