Python Tasks & ML | Задачи по питону и машинному обучению

x = 5
print([y%2 for y in range(6)][x])

import numpy as np
a = np.array([[101, 99],[102, 98]])
print(np.max(a))

tup = (5, 7, 22, 97)
newtup = tuple(map(lambda x: x + 3, tup))
print(newtup)

def gt_100(x):
    if x > 100:
        return True
    else:
        return False

import numpy as np
matrix = np.array([[99, 101], [100, 102]])
# ваш код
gt_100(matrix)

import numpy as np
mtx=np.array([[1, 2],
              [3, 4]])

print(mtx.size)

import numpy as np
mtx=np.array([[1, 2],
              [3, 4]])

print(mtx.shape)

s = list(map(lambda x, y: x + y, [1, 2, 3], [4, 5, 6]))
print(s)

import numpy as np
a = np.array([[2, 4],[2, 8]])
print(np.mean(a))