vinaykudari

a = np.arange(4).reshape((2,2))
for i in np.nditer(a):
    print(i)
>> 0
1
2
3

vinaykudari

a = np.arange(4)
print(a,'\n')
>> [0 1 2 3] 

b = np.reshape(a,(2,2))
print(b, '\n')
>> [[0 1]
   [2 3]] 

c = b.reshape(4)

vinaykudari

np.random.seed(25) #setting a seed
print(np.random.rand(3))
>> [0.87012414 0.58227693 0.27883894]

np.random.seed(25)
print(np.random.rand(3))
>> [0.87012414 0.58227693 0.27883894]

print(np.random.rand(3))
>> [0.52071879 0.32605113 0.69918624]

vinaykudari

list_a, list_b = zip(*zipped_object)

>> list_a
(1, 2, 3, 4, 5)

>> list_b
('a', 'b', 'c', 'd', 'e')

vinaykudari

list_a = [1, 2, 3, 4, 5]
list_b = ['a', 'b', 'c', 'd', 'e']

zipped_object = zip(list_a, list_b)

>> type(zipped_object)
<class 'zip'>

>> list(zipped_object)
[(1, 'a'), (2, 'b'), (3, 'c'), (4, 'd'), (5, 'e')]

vinaykudari

lis = (i**2 for i in range(5))

>> type(list)
<class 'generator'>

>> list(lis)
[0, 1, 4, 9, 16]

vinaykudari

#example_1
numbers = [1, 2, 3, 4]
squares = [n**2 for n in numbers]

>> squares
[1, 4, 9, 16]

#example_2
obj = ["Even" if i%2==0 else "Odd" for i in range(5)]

vinaykudari

import functools #reduce() is in functools package
 
lis = [1, 3, 5, 6, 2]

def get_greater(a,b):
    if(a>b):
        return a
    else:
        return b

vinaykudari

list_a = list(range(5))

def is_greater(n):
  if(n>2):
    return True
  else:
    return False
  
f1 = filter(lambda x : x>2, list_a) #lambda function
f2 = filter(is_greater, list_a) #normal function

vinaykudari

list_a = [1, 2]
list_b = [10, 20]

def add(a,b):
  return a+b

m1 = map(add,list_a,list_b) #using normal function
m2 = map(lambda x, y: x + y, list_a, list_b) #using lambda function

>> print(list(m1))