Python Tasks & ML | Задачи по питону и машинному обучению

def f(): return 2, 1
b, a = f()
print(a, b)

def f(x: int) -> float:
    pass
a = f.__annotations__
x = a["x"] is int
y = a["return"] is float
print(x, y)

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

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

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))

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