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Questions — @dina_ladnyuk
Post #1271
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PY @python_tasks
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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') == '*'*4'1'.center(2021, '0') == '0'*1010 + '1' + '0'*1010