Mathematical Operations using Numpy.ipynb

mathematical-operations-using-numpy.ipynb

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      "name": "Mathematical Operations using Numpy.ipynb",
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      "name": "python3",
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    {
      "cell_type": "markdown",
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        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/gist/HarshCasper/ef20c75889d98cc5353ffef8bccae383/mathematical-operations-using-numpy.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
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        "colab": {
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      },
      "source": [
        "import numpy as np\n",
        "arr = np.array([1,2,3,4])\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[1 2 3 4]\n"
          ],
          "name": "stdout"
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      ]
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      },
      "source": [
        "# Adding to the Array\n",
        "print(arr+5)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[6 7 8 9]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R8fal3DzlIdv",
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        "colab": {
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      },
      "source": [
        "# Subtracting from the Array\n",
        "print(arr-3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[-2 -1  0  1]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CbgCHXtGlLup",
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        "colab": {
          "base_uri": "https://localhost:8080/",
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      },
      "source": [
        "arr1=np.ones((1,1))\n",
        "print(arr+arr1)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[2. 3. 4. 5.]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
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      },
      "source": [
        "print(\"The Maximum Element in the Array is %r\" %(np.max(arr)))\n",
        "print(\"The Minimum Element in the Array is %r\" %(np.min(arr)))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The Maximum Element in the Array is 4\n",
            "The Minimum Element in the Array is 1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
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        "outputId": "2ecfc21e-dc4b-493c-bb17-4a3fab98c2c8",
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      },
      "source": [
        "# Creating a Vertically Stacking Matrix\n",
        "\n",
        "arr1=np.array([1,2,3,4,5])\n",
        "arr2=np.array([6,7,8,9,10])\n",
        "\n",
        "np.vstack([arr1,arr2])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1,  2,  3,  4,  5],\n",
              "       [ 6,  7,  8,  9, 10]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
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      },
      "source": [
        "np.hstack([arr1,arr2])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    }
  ]
}