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     "text": [
      "Матрица 2x3:\n",
      " [[1 2 3]\n",
      " [4 5 6]]\n",
      "Форма (shape): (2, 3)\n",
      "------------------------------\n",
      "Равномерная шкала (linspace):\n",
      " [0.         0.55555556 1.11111111 1.66666667 2.22222222 2.77777778\n",
      " 3.33333333 3.88888889 4.44444444 5.        ]\n",
      "------------------------------\n",
      "Случайная матрица 2x2:\n",
      " [[ 0.19881164 -0.06385133]\n",
      " [-0.15785181 -1.76408788]]\n",
      "------------------------------\n",
      "Результат матричного умножения A и B:\n",
      " [[19 22]\n",
      " [43 50]]\n",
      "------------------------------\n",
      "Сумма по столбцам матрицы: [5 7 9]\n",
      "Среднее по строкам матрицы: [2. 5.]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "matrix = np.array([[1, 2, 3], [4, 5, 6]])\n",
    "print(\"Матрица 2x3:\\n\", matrix)\n",
    "print(\"Форма (shape):\", matrix.shape)\n",
    "print(\"-\" * 30)\n",
    "linear_space = np.linspace(0, 5, 10)\n",
    "print(\"Равномерная шкала (linspace):\\n\", linear_space)\n",
    "print(\"-\" * 30)\n",
    "random_matrix = np.random.randn(2, 2)\n",
    "print(\"Случайная матрица 2x2:\\n\", random_matrix)\n",
    "print(\"-\" * 30)\n",
    "A = np.array([[1, 2], [3, 4]])\n",
    "B = np.array([[5, 6], [7, 8]])\n",
    "dot_product = np.dot(A, B)\n",
    "print(\"Результат матричного умножения A и B:\\n\", dot_product)\n",
    "print(\"-\" * 30)\n",
    "print(\"Сумма по столбцам матрицы:\", matrix.sum(axis=0))\n",
    "print(\"Среднее по строкам матрицы:\", matrix.mean(axis=1))\n"
   ]
  },
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   "id": "4b2c508b-6345-4902-8e15-44fd3c36d9f5",
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   "outputs": [],
   "source": []
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