{ "cells": [ { "cell_type": "code", "execution_count": 2, "id": "3af2cc9d-8792-4968-972a-cdfed0d85dce", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Моя матрица 2x2:\n", "[[ 5 7]\n", " [ 9 10]]\n", "\n", "Тестирую linspace:\n", "Массив от 0 до 10 с 5 элементами:\n", "[ 0. 2.5 5. 7.5 10. ]\n", "\n", "Случайные числа из randn:\n", "[ 0.16121834 0.8534192 -1.17185391]\n", "\n", "Умножаю матрицу на саму себя через dot:\n", "Результат:\n", "[[ 88 105]\n", " [135 163]]\n", "\n", "Сумма всех элементов матрицы:\n", "31\n", "Среднее арифметическое:\n", "7.75\n" ] }, { "data": { "text/plain": [ "array([[ 5, 7],\n", " [ 9, 10]])" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import numpy as np\n", "matrix = np.array([[5, 7], [9, 10]])\n", "\n", "print(\"Моя матрица 2x2:\")\n", "print(matrix)\n", "\n", "print(\"\\nТестирую linspace:\")\n", "arr = np.linspace(0, 10, 5)\n", "print(\"Массив от 0 до 10 с 5 элементами:\")\n", "print(arr)\n", "\n", "print(\"\\nСлучайные числа из randn:\")\n", "random_arr = np.random.randn(3)\n", "print(random_arr)\n", "\n", "print(\"\\nУмножаю матрицу на саму себя через dot:\")\n", "result = np.dot(matrix, matrix)\n", "print(\"Результат:\")\n", "print(result)\n", "\n", "print(\"\\nСумма всех элементов матрицы:\")\n", "summa = np.sum(matrix)\n", "print(summa)\n", "\n", "print(\"Среднее арифметическое:\")\n", "srednee = np.mean(matrix)\n", "print(srednee)\n", "\n", "matrix" ] }, { "cell_type": "code", "execution_count": null, "id": "2bbf5089-c335-4e5a-8c8f-5b7858176c6d", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.5" } }, "nbformat": 4, "nbformat_minor": 5 }