from functools import reduce
y = reduce(lambda a, b: a + b , [1, 2, 3, 4])
print(y)

a = {1: "London", 3: "Berlin"}
b = {2: "New York", 3: "Moscow", 4: "Geneva"}

{**a, **b}

import numpy as np
matrix_a = np.array([
    [1, 1, 1],
    [1, 1, 1],
    [1, 1, 2]
])
matrix_b = np.array([
    [1, 3, 1],
    [1, 3, 1],
    [1, 3, 8]
])
с = matrix_a + matrix_b
print(с)

c = map(lambda x: x + x, filter(lambda x: (x>3), (1, 2, 3, 4)))
print(list(c))

a = np.array([1, 2, 3])
print(np.dot(a, a.T))

a = np.array([1, 2, 3])
n1 = round(np.linalg.norm(a, ord=np.inf), 1)
n2 = round(np.linalg.norm(a, ord=1), 1)
n3 = round(np.linalg.norm(a, ord=2), 1)
print(n1, n2, n3)

c = filter(lambda x: x>=3, map(lambda x: x+x, (1, 2, 3, 4)))
print(list(c))

def unpacking(x, y, z):
    print(x, y, z, end=" ")
tuple_vec = (1, 0, 1)
dict_vec = {'x': 1, 'y': 0, 'z': 1}
unpacking(*tuple_vec)
unpacking(**dict_vec)

name = '      python    '