Python Tasks & ML | Задачи по питону и машинному обучению

import numpy as np
a = np.arange(1, 2, 1)
b = np.linspace(1, 2, 1, dtype=int)
print(a + b)

import numpy as np
a = np.array((100, 101, 102, 103))
b = np.zeros_like(a)
print(np.sum(b))

import numpy as np
a = np.array((100, 101, 102, 103))
b = np.ones_like(a)
print(np.sum(b))

import numpy as np
b = np.array([[1., 2.], [3., 4.]])
b[0, 0] = 0
b[1, 1] = 0
a = np.sum(b)
print(a)

it = (lambda: i for i in [1, 2])
vals = [f() for f in [*it]]
print(sum(vals))

it = (lambda: i for i in [1, 2])
vals = [f() for f in it]
print(sum(vals))

a, *b = (1, 2, 3)
x = hasattr(a, '__iter__')
y = hasattr(b, '__iter__')
print(x, y)

import struct
s = struct.pack('fhb', 1, 1, 1)
print(len(s))

import pickle
s = pickle.dumps({"x": 1})
a = pickle.loads(s[1:])["x"]
print(a)