Задачи по Python и машинному обучению. Страница 15

a = complex(231, 4076)
b = complex(231, -4076)
c = a * b
print(c.imag)

x = 10
a = format(x, 'b')
b = format(x, 'o')
c = format(x, 'x')
print(a, b, c)

import math
nums = [1e+100, 1, -1e+100]
x = math.fsum(nums)
y = sum(nums)
print(x, y)

from decimal import Decimal
x = 4.2 + 2.1 == 6.3
y = Decimal('4.2') + Decimal('2.1') == Decimal('6.3')
print(x, y)

a = 111.46
b = round(a, -2)
c = round(a, 1)
print(b + c)

import re
data = b'A:B,C'
x = re.split(b'[:,]', data)[1].decode() 
print(x)

class A:
    def __init__(self, x, y):
        self.x = x
        self.y = y
v = vars(A(2, 3))
print(sum(list(v.values())))

m = {'x': 2, 'y': 3}
s = '{x} + {y}'.format_map(m)
print(s)

# Вариант 1
s = ''
for p in parts:
    s += p

# Вариант 2
''.join(parts)

x = format('+', '*>4') 
print(x)

from sklearn.linear_model import LogisticRegression
import numpy as np
data = np.array([[0, "No"],
 [10, "No"],
 [60, "Yes"],
 [90, "Yes"]])
X = data[:, 0].reshape(4, 1)
y = data[:, 1]
model = LogisticRegression()
model.fit(X, y)
res = model.predict([[5], [80], [100]])
print(*res)

format('*', '*<4') == '*'*4