H4medRostami

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},

H4medRostami

prices={'ACME':45.23,
        'AAPL':612.78,
        'IBM':205.55,
        'HPQ':37.20,'FB':10.75}

min_price=min(zip(prices.values(),prices.keys()))# min_price is (10.75, 'FB')
max_price=max(zip(prices.values(),prices.keys()))# max_price is (612.78, 'AAPL')
#Similarly, to rank the data, use zip() with sorted(), as in the following:
prices_sorted=sorted(zip(prices.values(),prices.keys()))
# prices_sorted is [(10.75, 'FB'), (37.2, 'HPQ'),

H4medRostami

from operator import itemgetter

rows = [{'address': '5412 N CLARK', 'date': '07/01/2012'},
        {'address': '5148 N CLARK', 'date': '07/04/2012'},
        {'address': '5800 E 58TH', 'date': '07/02/2012'},
        {'address': '2122 N CLARK', 'date': '07/03/2012'},
        {'address': '5645 N RAVENSWOOD', 'date': '07/02/2012'},
        {'address': '1060 W ADDISON', 'date': '07/02/2012'},
        {'address': '4801 N BROADWAY', 'date': '07/01/2012'},
        {'address': '1039 W GRANVILLE', 'date': '07/04/2012'}, ]

H4medRostami

mylist = [1, 4, -5, 10, -7, 2, 3, -1]
[n for n in mylist if n>0]

H4medRostami

class Planet(Enum):
     MERCURY = (3.303e+23, 2.4397e6)
     VENUS   = (4.869e+24, 6.0518e6)
     EARTH   = (5.976e+24, 6.37814e6)
     MARS    = (6.421e+23, 3.3972e6)
     JUPITER = (1.9e+27,   7.1492e7)
     SATURN  = (5.688e+26, 6.0268e7)
     URANUS  = (8.686e+25, 2.5559e7)
     NEPTUNE = (1.024e+26, 2.4746e7)
     def __init__(self, mass, radius):

H4medRostami

ls /var/cache/dnf/*pid


If have any file then remove them and try running dnf again.