Website Notebook Classwork 3.ipynb

website-notebook-classwork-3.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Website Notebook Classwork 3.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyNDiHTcUj9iZH1jDwpXbIC5",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/flyfir248/39df84b25bf1a1032a234dd6202661da/website-notebook-classwork-3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8ND5gQDrYnGC",
        "outputId": "1a298091-5157-44b8-a72a-a3215bfc3f16"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[0 1 2 3]\n",
            " [4 5 6 7]]\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "\n",
        "Array2D = np.arange(0, 8).reshape([2,4])\n",
        "\n",
        "print(Array2D)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.sum(Array2D, axis = 1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EByDIkFWYsUa",
        "outputId": "35681ea0-0bf4-4a03-ef18-81c71660cc99"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 6, 22])"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    }
  ]
}