d = {"a": 2, "b": 3, "c": 2}
f = lambda: zip(d.values(), d.keys())
max_ = max(f())
min_ = min(f())
print(max_, min_)

d1 = {"x": 1, "y": 2}
d2 = {"y": 2, "z": 3}
r1 = d1.keys() & d2.keys()
r2 = d1.keys() - d2.keys()
print(*r1, *r2)

d1 = {"x": 1, "y": 2}
d2 = {"y": 2, "z": 3}
print(*(d1.items() - d2.items()))

d1 = {"x": 1, "y": 2}
d2 = {"y": 2, "z": 3}
print(d1.values() - d2.values())

a = [1, 5, 2, 1, 1, 5]

def f(items):
    s = set()
    for item in items:
        if item not in s:
            yield item
            s.add(item)
print(*f(a))

import numpy as np
x = np.array([1., 2., np.nan])
print(np.nanstd(x))

import numpy as np
data = np.array([2, 7, 3, 1])
bins = [0, 5, 10]
hist, _ = np.histogram(data, bins)
print(*hist)
#data - набор данных
#bins - набор интервалов, задаваемых граничными значениями

import numpy as np
Polynomial = np.polynomial.Polynomial
p = Polynomial([6, -3, 1])
print(int(p(0)), int(p(1)), int(p(2)))

import numpy as np
Polynomial = np.polynomial.Polynomial
p = Polynomial([1, -1, 1])
q = Polynomial([2, -3])
print(int((p + q)(1)))

import numpy as np
Polynomial = np.polynomial.Polynomial
p = Polynomial([1, -1])
q = Polynomial([1, 1])
print(int((p * q)(2)))