Задачи по питону и машинному обучению: алгоритмы, функции, классы, регулярные выражения, итераторы, генераторы, ООП, исключения, numpy, pandas, matplotlib, scikit-learn, TensorFlow и др. #Python #ml
import numpy as np a = np.array([[1, 3], [5, 7]]) a[:, 0] = 0 a[1, :] = 1 print(a.sum())
import numpy as np a = np.array([1, 2, 3, 4, 5]) b = a[[0, 1, 2]] c = a[0:3] b[0] = -1 c[1] = -1 print(a[0], a[1])
import numpy as np a = np.arange(8).reshape((2, 2, 2)) x = np.dsplit(a, 2)[0].sum() print(x)
import numpy as np a = np.arange(6) a = a.reshape(-1, 1) x = np.vsplit(a, 2)[-1].sum() print(x)
import numpy as np a = np.arange(4) x = np.hsplit(a, 2)[0] print(x.sum())
import numpy as np a = np.array([1, 2]) b = np.array([3, 4]) c = np.dstack((a, b)) print(c.shape)
import numpy as np a = np.array([1, 2]) b = np.array([3, 4]) c = np.vstack((a, b)) print(c.shape)
import numpy as np a = np.array([1, 2]) b = np.array([3, 4]) c = np.hstack((a, b)) print(c.shape)
import numpy as np a = np.arange(4) b = a.transpose() x = a.shape == b.shape print(x)
import numpy as np a = np.linspace(1, 4, 4) b = a.reshape(2, 2) b[0, 0] = 0 print(a[0] + b[0, 0] + b[1, 1])
import numpy as np a = np.linspace(1, 4, 4) # ваш код print(a)