NumPy.ipynb

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      "name": "python"
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        "<a href=\"https://colab.research.google.com/github/shuvookd/Machine_Learning/blob/main/NumPy.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    },
    {
      "cell_type": "markdown",
      "source": [
        "### **What is Numpy?**\n",
        "\n",
        "Ans: **NumPy** is a scientific computing library for python.\n",
        "\n",
        "Support large number of data in the form of multi-dimensional array and matrix.\n"
      ],
      "metadata": {
        "id": "wlIpjDYcdYZl"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **NumPy Information**\n",
        "NumPy 2d Array(Metrix)\n",
        "\n",
        "NumPy 1d Array(Vector)\n",
        "\n",
        "***Extension:***\n",
        "\n",
        ".tsv(Tab)\n",
        "\n",
        ".csv(Comma)"
      ],
      "metadata": {
        "id": "gJobw4hoevCa"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **NumPy Installation**\n",
        "\n",
        "pip install numpy"
      ],
      "metadata": {
        "id": "7JFfXIbYfdVr"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "22OLkgytdFrI"
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      "outputs": [],
      "source": [
        "import numpy as np"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **NumPy Function**\n",
        "\n",
        "Type of variable: **type(arrayName)**\n",
        "\n",
        "Convert variable to boolean: **bool(var_name)**\n",
        "\n",
        "arange() : **np.araange(start, End, Range)**\n",
        "\n",
        "Linespace() : **np.linspace(start,End, line Space)**\n",
        "\n",
        "Changing array dimention: **array_Name.reshape(row,column)**\n",
        "\n",
        "Multidimentionl array to 1D array: **array_name.ravel()** or **array_name.flatten()**\n",
        "\n",
        "Make Transpose: **array_name.transpose()**\n",
        "or **array_name.T**\n",
        "\n",
        "To know Dimension of array: **arrayName.ndim**\n",
        "\n",
        "Size of array: **arrayName.size**\n",
        "\n",
        "Shape of array: **arrayName.shape**\n",
        "\n",
        "Data Type of array: **arrayName.dtype**\n",
        "\n",
        "Creating Ones Matrix: **np.ones((row,colunm), dtype = int/float/bool/str)**\n",
        "\n",
        "Creating Zeros Matrix: **np.zeros((row,colunm), dtype = int/float/bool/str)**\n",
        "\n"
      ],
      "metadata": {
        "id": "6KkD1khnkEe6"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Mathematic Operation Using NumPy**\n",
        "\n",
        "Matrix Addition: **np.add(array1_name, arrar2_name)**\n",
        "\n",
        "Matrix Subtraction: **np.subsruct(array1_name , arrar2_name)**\n",
        "\n",
        "Matrix Devision: **np.devide(array1_name , arrar2_name)**\n",
        "\n",
        "Matrix Multiplication: **array1_name.dot(arrar2_name)**\n",
        "\n",
        "\n",
        "***Maximum***\n",
        "\n",
        "\n",
        "Find Maximum value of array: **array_name.max()**\n",
        "\n",
        "Find Maximum value index of array: **array_name.argmax()**\n",
        "\n",
        "Find Maximum value  of a column: **array_name.max(axis = 0)**\n",
        "\n",
        "Find Maximum value  of a row: **array_name.max(axis = 1)**\n",
        "\n",
        "***Minimum***\n",
        "\n",
        "\n",
        "Find Minimum value of array: **array_name.min()**\n",
        "\n",
        "Find Minimum value index of array: **array_name.argmin()**\n",
        "\n",
        "Find Minimum value  of a column: **array_name.min(axis = 0)**\n",
        "\n",
        "Find Minimum value  of a row: **array_name.min(axis = 1)**\n",
        "\n",
        "***Sum***\n",
        "\n",
        "Find Sum of all element in array: **np.sum(array_name)**\n",
        "\n",
        "Sum of a Column in a matrix:**np.sum(a1, axis = 0)**\n",
        "\n",
        "Sum of a Row in a matrix: **np.sum(a1, axis = 1)**\n",
        "\n",
        "***Others***\n",
        "\n",
        "Find Matrix Average: **np.mean(array_name)**\n",
        "\n",
        "Find Matrix Square Root: **np.sqrt(array_name)**\n",
        "\n",
        "Find Matrix Standerd Deviation: **np.std(array_name)**\n",
        "\n",
        "Find Exponential: **np.exp(array_name)**\n",
        "\n",
        "Find Logarithm: **np.log(array_name)**\n",
        "\n",
        "Find 10 base Logarithm: **np.log10(array_name)**\n",
        "\n",
        "***Array Slicing: Go to Code for Details***"
      ],
      "metadata": {
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    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Create 1D Array**"
      ],
      "metadata": {
        "id": "7GCH2Uqehasw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "array_1d = np.array([1,2,3,4])\n",
        "print(array_1d)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xoxN3inugKm-",
        "outputId": "f85d5882-4b7f-4469-96da-ad181df50420"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1 2 3 4]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# To know The type of variable: type()\n",
        "type(array_1d)"
      ],
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          "base_uri": "https://localhost:8080/"
        },
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "numpy.ndarray"
            ]
          },
          "metadata": {},
          "execution_count": 186
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# To know The dimension of array: arrayName.ndim\n",
        "array_1d.ndim"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M0-TbrQZgram",
        "outputId": "c7b06749-aa0c-454b-8c12-e4f23e149610"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 187
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Creating 2D Array**"
      ],
      "metadata": {
        "id": "3AcgbhjUhp60"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "array_2d = np.array([[1,2,3,4],[5,6,7,8]])\n",
        "print(array_2d)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1 2 3 4]\n",
            " [5 6 7 8]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# To know The size of array: arrayName.size\n",
        "array_2d.size"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pDpkaP1rjmko",
        "outputId": "16a9729b-a7c2-41ad-93a9-5e8d5a945e65"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {},
          "execution_count": 189
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# To know The shape of array: arrayName.shape\n",
        "#(Row, Colunm)\n",
        "array_2d.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bBXsDCNpjr84",
        "outputId": "c7f1e4ff-f788-4df9-d15f-7df43cc65755"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 4)"
            ]
          },
          "metadata": {},
          "execution_count": 190
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# To know The Data Type of array: arrayName.dtype\n",
        "array_2d.dtype"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BEIfLjuklh6W",
        "outputId": "000a6a95-1052-47d2-b86b-57cdc8049241"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dtype('int64')"
            ]
          },
          "metadata": {},
          "execution_count": 191
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Creating One's Matrix**"
      ],
      "metadata": {
        "id": "KmIjMVDemyfZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "matrix_1s = np.array([[1,1,1],[1,1,1],[1,1,1]])\n",
        "print(matrix_1s)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0LRdU8NUm7hy",
        "outputId": "12b96661-3197-43b6-cf3c-3de9dd7a997f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1 1 1]\n",
            " [1 1 1]\n",
            " [1 1 1]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ones_matrix = np.ones((2,3), dtype = int)\n",
        "print(ones_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y_-CEGMWnYly",
        "outputId": "4453e8c8-4329-4b2f-da95-4814ff22ef98"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1 1 1]\n",
            " [1 1 1]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Creating Zero's Matrix**"
      ],
      "metadata": {
        "id": "IOsQqqEvpPAJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Zeros_matrix = np.zeros((3,4), dtype = bool)\n",
        "print(Zeros_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P-X1sQWNpRJi",
        "outputId": "b13adffa-409e-4362-e3fb-7a20e39f7344"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[False False False False]\n",
            " [False False False False]\n",
            " [False False False False]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Zeros_matrix = np.zeros((3,4), dtype = str)\n",
        "print(Zeros_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HhIPz93iqMUo",
        "outputId": "698c14cc-be5f-400b-f43a-8a02beabdf73"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[['' '' '' '']\n",
            " ['' '' '' '']\n",
            " ['' '' '' '']]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Convert string to boolean\n",
        "empty_string = ''\n",
        "print(bool(empty_string))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cP768yIPrCkN",
        "outputId": "197b5e11-3129-49e4-e7e9-a0d359a00f9f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "False\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Create Empty Matrix**"
      ],
      "metadata": {
        "id": "0PVFeYUBui68"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Expty matrix always show random Values\n",
        "empty_matrix = np.empty((3,3))\n",
        "print(empty_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "My14iGNysRjV",
        "outputId": "70ee47ce-5836-4ddc-bb59-9af0ff0cdcb3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[5.e-324 5.e-324 5.e-324]\n",
            " [5.e-324 5.e-324 5.e-324]\n",
            " [5.e-324 5.e-324 5.e-324]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **arrange()**\n",
        "\n",
        "np.araange(start, End, Range)"
      ],
      "metadata": {
        "id": "r13i_Un8_6jg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#arange() : np.araange(start, End)\n",
        "arr_1d = np.arange(1,13)\n",
        "print(arr_1d)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P7NGtBHnAT2Y",
        "outputId": "638f3e6c-fb88-4483-d24c-a852420ceaa4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ 1  2  3  4  5  6  7  8  9 10 11 12]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#arange() : np.araange(start, End, Range)\n",
        "even = np.arange(2,13,2)\n",
        "print(even)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QS95jUomHHVk",
        "outputId": "ed3a1d3c-973b-42b7-c79b-a915686fdcce"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ 2  4  6  8 10 12]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **linespace()**"
      ],
      "metadata": {
        "id": "EFo91hZOA_9o"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#linespace() : np.linspace(start,End, line Space)\n",
        "ar = np.linspace(1,10,3)\n",
        "print(ar)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ksFvYNXZBPgU",
        "outputId": "e599c1d4-40b1-46e5-f69e-9ac010d5ec52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[ 1.   5.5 10. ]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **reshape()**"
      ],
      "metadata": {
        "id": "CN0gcrs-FExC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Changing array dimention: array_Name.reshape(row,column)\n",
        "arr_2d = arr_1d.reshape(3,4)\n",
        "print(arr_2d)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pQZ7yC4OE8RB",
        "outputId": "9d3b2b31-4f58-4332-e866-bb9d8ed22062"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[ 1  2  3  4]\n",
            " [ 5  6  7  8]\n",
            " [ 9 10 11 12]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr_3d = arr_1d.reshape(2,3,2)\n",
        "print(arr_3d)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oVOlxZtzJYpb",
        "outputId": "574ccbc9-ccce-4dd5-b247-250fa1a0cd17"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[[ 1  2]\n",
            "  [ 3  4]\n",
            "  [ 5  6]]\n",
            "\n",
            " [[ 7  8]\n",
            "  [ 9 10]\n",
            "  [11 12]]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Converting Multidimentionl array to 1D array: ravel()**"
      ],
      "metadata": {
        "id": "gg1XXUfyKeZY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "arr_3d.ravel()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EaPOHSvTK5KY",
        "outputId": "c5e44069-067a-4f35-ec2c-132579b46fe9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])"
            ]
          },
          "metadata": {},
          "execution_count": 203
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr_3d.flatten()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0W7b7JWZLaIx",
        "outputId": "8a221ff4-71e1-45cf-fea7-01182940e79a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])"
            ]
          },
          "metadata": {},
          "execution_count": 204
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **transpose()**"
      ],
      "metadata": {
        "id": "mF9HdxcgLZkP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "arr_2d.transpose()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XVtyn76tMRqO",
        "outputId": "483670ec-b018-4f7e-f21e-66389c1d0142"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1,  5,  9],\n",
              "       [ 2,  6, 10],\n",
              "       [ 3,  7, 11],\n",
              "       [ 4,  8, 12]])"
            ]
          },
          "metadata": {},
          "execution_count": 205
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arr_2d.T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "THcgckzhM3oI",
        "outputId": "606f1d82-00a6-4c49-d746-4a56ac999c67"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1,  5,  9],\n",
              "       [ 2,  6, 10],\n",
              "       [ 3,  7, 11],\n",
              "       [ 4,  8, 12]])"
            ]
          },
          "metadata": {},
          "execution_count": 206
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Mathematic Operation Using NumPy"
      ],
      "metadata": {
        "id": "lckCz8d7i_Ws"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a1 = np.arange(1,10).reshape(3,3)\n",
        "a2 = np.arange(1,10).reshape(3,3)\n",
        "print(a1)\n",
        "print(a2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7j4fxir_jFVT",
        "outputId": "e914a740-95cb-40bf-d111-95a410ab5c6d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1 2 3]\n",
            " [4 5 6]\n",
            " [7 8 9]]\n",
            "[[1 2 3]\n",
            " [4 5 6]\n",
            " [7 8 9]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Matrix Addition"
      ],
      "metadata": {
        "id": "rnTvqQsAjxQ4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a1 + a2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tzc7x47LjrQy",
        "outputId": "a697631b-72c3-4054-b471-cc20b4fe6725"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 2,  4,  6],\n",
              "       [ 8, 10, 12],\n",
              "       [14, 16, 18]])"
            ]
          },
          "metadata": {},
          "execution_count": 208
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.add(a1,a2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JvdiXfhIj8g8",
        "outputId": "d7b7d05e-6506-4fd0-a569-33e653371a86"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 2,  4,  6],\n",
              "       [ 8, 10, 12],\n",
              "       [14, 16, 18]])"
            ]
          },
          "metadata": {},
          "execution_count": 209
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Matrix Subtraction"
      ],
      "metadata": {
        "id": "Uqzg_ND5kZ6O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a1 - a2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IdE6rnXZk19f",
        "outputId": "db1f8760-c4c8-4c87-ff55-089141f8f830"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 0, 0],\n",
              "       [0, 0, 0],\n",
              "       [0, 0, 0]])"
            ]
          },
          "metadata": {},
          "execution_count": 210
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.subtract(a1,a2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wdn39K4rkdC2",
        "outputId": "b22cb2d1-7d17-47a8-f286-6b70d25ebd41"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0, 0, 0],\n",
              "       [0, 0, 0],\n",
              "       [0, 0, 0]])"
            ]
          },
          "metadata": {},
          "execution_count": 211
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Matrix Devision"
      ],
      "metadata": {
        "id": "1YZQb93uk6ng"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a1 / a2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LYpgRiTzkg0C",
        "outputId": "affa9ce9-a866-44c3-a109-959bca7716eb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1., 1., 1.],\n",
              "       [1., 1., 1.],\n",
              "       [1., 1., 1.]])"
            ]
          },
          "metadata": {},
          "execution_count": 212
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.divide(a1,a2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fV3DK0xxk_WT",
        "outputId": "3c7407c8-ed7c-455e-e11a-b28312cf301b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1., 1., 1.],\n",
              "       [1., 1., 1.],\n",
              "       [1., 1., 1.]])"
            ]
          },
          "metadata": {},
          "execution_count": 213
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Matrix Multiplication"
      ],
      "metadata": {
        "id": "vq7hw0YslMHP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Multiply with Index wise\n",
        "a1 * a2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k4vqCpvplUJl",
        "outputId": "500d5870-fbe4-42be-ab2d-05ce13aef101"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1,  4,  9],\n",
              "       [16, 25, 36],\n",
              "       [49, 64, 81]])"
            ]
          },
          "metadata": {},
          "execution_count": 214
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Multiply with Index wise\n",
        "np.multiply(a1,a2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L5LTk9cPlW6A",
        "outputId": "3b4ba9bd-2cc7-4a1d-c5b2-3f490156f048"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1,  4,  9],\n",
              "       [16, 25, 36],\n",
              "       [49, 64, 81]])"
            ]
          },
          "metadata": {},
          "execution_count": 215
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Multiply with element wise(1st Row, 2nd column...)\n",
        "a1 @ a2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QUH13cydmHkD",
        "outputId": "c9fa0d72-4fec-42c9-b179-7b3bd7ac21dc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 30,  36,  42],\n",
              "       [ 66,  81,  96],\n",
              "       [102, 126, 150]])"
            ]
          },
          "metadata": {},
          "execution_count": 216
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a1.dot(a2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VyZVe83rmXAC",
        "outputId": "239dbcb1-e38e-4c76-ed19-750bda5564a2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 30,  36,  42],\n",
              "       [ 66,  81,  96],\n",
              "       [102, 126, 150]])"
            ]
          },
          "metadata": {},
          "execution_count": 217
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Find Maximum**"
      ],
      "metadata": {
        "id": "N7m7t1YSnjqm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Maximum value in array\n",
        "a1.max()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XQrVouShnthd",
        "outputId": "f46f5fb1-814f-41f3-e029-160b00c290a5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "9"
            ]
          },
          "metadata": {},
          "execution_count": 218
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Maximum value index in array\n",
        "a1.argmax()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9O8PGSKEn0kZ",
        "outputId": "8fc2c4fe-b002-4618-a497-67fad41808d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {},
          "execution_count": 219
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Maximum value of a column\n",
        "a1.max(axis = 0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aabqwjrooISN",
        "outputId": "706f7ebd-e780-422c-b318-b834c0f779c4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([7, 8, 9])"
            ]
          },
          "metadata": {},
          "execution_count": 220
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Maximum value of a row\n",
        "a1.max(axis = 1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "inVJrVgkogaa",
        "outputId": "e89719b0-cf93-4049-dbed-529de6f4f0df"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([3, 6, 9])"
            ]
          },
          "metadata": {},
          "execution_count": 221
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Find Minimum**"
      ],
      "metadata": {
        "id": "FER5cRIdoyE6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Minimum value in array\n",
        "a1.min()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IXJ-Ta8Lo2HA",
        "outputId": "0b66da97-9da0-4ea9-ecf1-92204e11007e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 222
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "##Minimum value index in array\n",
        "a1.argmin()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HlaY6sRXo78S",
        "outputId": "a0adbd04-d964-491b-ee68-df1736fd990b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 223
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Minimum value of a column\n",
        "a1.min(axis = 0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ukwS2tRvpIxi",
        "outputId": "69a66082-7669-462b-93cc-2e65e1b737a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 2, 3])"
            ]
          },
          "metadata": {},
          "execution_count": 224
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Minimum value of a column\n",
        "a1.min(axis = 1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3oKrElBppNHv",
        "outputId": "77cb7094-3b42-4eb1-f173-9666e60daba3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 4, 7])"
            ]
          },
          "metadata": {},
          "execution_count": 225
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Matrix All Element Sum**"
      ],
      "metadata": {
        "id": "6aqTH3eqpf7o"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Sum of all element in a matrix\n",
        "np.sum(a1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sZxDcL7BpbyF",
        "outputId": "098f1a72-e879-42c6-84df-f0907e28b526"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "45"
            ]
          },
          "metadata": {},
          "execution_count": 226
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Sum of a Column in a matrix\n",
        "np.sum(a1, axis = 0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J-tj9te0p7dd",
        "outputId": "d29cb135-1510-4a47-b07c-4ba0ba8f2362"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([12, 15, 18])"
            ]
          },
          "metadata": {},
          "execution_count": 227
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Sum of a Row in a matrix\n",
        "np.sum(a1, axis = 1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X_BnPceoqGL6",
        "outputId": "b5a3fc11-ad30-4167-8af3-89164c02ff9a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 6, 15, 24])"
            ]
          },
          "metadata": {},
          "execution_count": 228
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Marix Average**"
      ],
      "metadata": {
        "id": "HYHJ_WXpqPz_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "np.mean(a1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q_0QbnOwqTBW",
        "outputId": "c82f72dc-f88f-4622-fb32-eec82afb64cb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5.0"
            ]
          },
          "metadata": {},
          "execution_count": 229
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Matrix Square Root find**"
      ],
      "metadata": {
        "id": "PszoBuaeqWrt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "np.sqrt(a1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TWxICxISqdQg",
        "outputId": "2f19245f-ff59-452f-c43a-430c23b2ea4f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1.        , 1.41421356, 1.73205081],\n",
              "       [2.        , 2.23606798, 2.44948974],\n",
              "       [2.64575131, 2.82842712, 3.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 230
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Find Standerd Deviation**"
      ],
      "metadata": {
        "id": "t9mv_T4Kqlcu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "np.std(a1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dA6878vBqzI5",
        "outputId": "f41aacb0-af6f-4b59-8a2e-6c0d7080a6d6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.581988897471611"
            ]
          },
          "metadata": {},
          "execution_count": 231
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Find Exponential**"
      ],
      "metadata": {
        "id": "tgYgwfCZrIrY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "np.exp(a1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U1OWbpTeq7Qy",
        "outputId": "a633a3ca-9253-465c-bb7c-cb800172e20e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[2.71828183e+00, 7.38905610e+00, 2.00855369e+01],\n",
              "       [5.45981500e+01, 1.48413159e+02, 4.03428793e+02],\n",
              "       [1.09663316e+03, 2.98095799e+03, 8.10308393e+03]])"
            ]
          },
          "metadata": {},
          "execution_count": 232
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Find Log**"
      ],
      "metadata": {
        "id": "E-LOlWhrrNaI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "np.log(a1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lNCmA_4ZrBhQ",
        "outputId": "b83e157f-c104-4971-d97e-23dbd3764366"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.        , 0.69314718, 1.09861229],\n",
              "       [1.38629436, 1.60943791, 1.79175947],\n",
              "       [1.94591015, 2.07944154, 2.19722458]])"
            ]
          },
          "metadata": {},
          "execution_count": 233
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.log10(a1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "clSHa-pMrEz1",
        "outputId": "845eb49c-6d9a-4415-ea22-99b46878b653"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.        , 0.30103   , 0.47712125],\n",
              "       [0.60205999, 0.69897   , 0.77815125],\n",
              "       [0.84509804, 0.90308999, 0.95424251]])"
            ]
          },
          "metadata": {},
          "execution_count": 234
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### **Array Slicing**"
      ],
      "metadata": {
        "id": "q-vONspvxrye"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "matrix  = np.arange(1,101).reshape(10,10)\n",
        "print(matrix)"
      ],
      "metadata": {
        "id": "D4eg_XnPxvve",
        "outputId": "1242afdb-0851-4fb7-e9bb-76107ef8e45d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[  1   2   3   4   5   6   7   8   9  10]\n",
            " [ 11  12  13  14  15  16  17  18  19  20]\n",
            " [ 21  22  23  24  25  26  27  28  29  30]\n",
            " [ 31  32  33  34  35  36  37  38  39  40]\n",
            " [ 41  42  43  44  45  46  47  48  49  50]\n",
            " [ 51  52  53  54  55  56  57  58  59  60]\n",
            " [ 61  62  63  64  65  66  67  68  69  70]\n",
            " [ 71  72  73  74  75  76  77  78  79  80]\n",
            " [ 81  82  83  84  85  86  87  88  89  90]\n",
            " [ 91  92  93  94  95  96  97  98  99 100]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Find value by index\n",
        "matrix[0,0]"
      ],
      "metadata": {
        "id": "iYrMbnoayBlb",
        "outputId": "0fad8092-b582-461f-9e42-9bba01c8439b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 236
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "matrix[0,0].ndim"
      ],
      "metadata": {
        "id": "nPTf3S0OyWYn",
        "outputId": "a33e9a19-f986-44b9-e9f9-bbc628e2b9d7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 237
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Find Row\n",
        "matrix[0]"
      ],
      "metadata": {
        "id": "BDnCYcs1yZkw",
        "outputId": "a1e34ac1-876c-46c6-83f0-c14d357ea472",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10])"
            ]
          },
          "metadata": {},
          "execution_count": 238
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Find Column\n",
        "matrix[:,0]"
      ],
      "metadata": {
        "id": "u7SsCy5eyo4V",
        "outputId": "f3e6da6d-b961-4777-bc2d-3a5baadea174",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1, 11, 21, 31, 41, 51, 61, 71, 81, 91])"
            ]
          },
          "metadata": {},
          "execution_count": 239
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Find Column\n",
        "matrix[:,0:1]"
      ],
      "metadata": {
        "id": "aQb0PzrQy9WP",
        "outputId": "330f1557-2e6b-4c8e-f778-9dbde65bfc85",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 1],\n",
              "       [11],\n",
              "       [21],\n",
              "       [31],\n",
              "       [41],\n",
              "       [51],\n",
              "       [61],\n",
              "       [71],\n",
              "       [81],\n",
              "       [91]])"
            ]
          },
          "metadata": {},
          "execution_count": 240
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# checking\n",
        "matrix[:,0:1].ndim"
      ],
      "metadata": {
        "id": "RvO-rV8Fzbql",
        "outputId": "b7a5ef1c-d8c8-4004-88ee-be880a3cbb2a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 241
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "matrix"
      ],
      "metadata": {
        "id": "Vgr0-XnGz3Id",
        "outputId": "6709f71e-23e3-4af0-f69b-9d913d9deef7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[  1,   2,   3,   4,   5,   6,   7,   8,   9,  10],\n",
              "       [ 11,  12,  13,  14,  15,  16,  17,  18,  19,  20],\n",
              "       [ 21,  22,  23,  24,  25,  26,  27,  28,  29,  30],\n",
              "       [ 31,  32,  33,  34,  35,  36,  37,  38,  39,  40],\n",
              "       [ 41,  42,  43,  44,  45,  46,  47,  48,  49,  50],\n",
              "       [ 51,  52,  53,  54,  55,  56,  57,  58,  59,  60],\n",
              "       [ 61,  62,  63,  64,  65,  66,  67,  68,  69,  70],\n",
              "       [ 71,  72,  73,  74,  75,  76,  77,  78,  79,  80],\n",
              "       [ 81,  82,  83,  84,  85,  86,  87,  88,  89,  90],\n",
              "       [ 91,  92,  93,  94,  95,  96,  97,  98,  99, 100]])"
            ]
          },
          "metadata": {},
          "execution_count": 242
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Print 1,2,3rd row and 1,2,3rd column\n",
        "matrix[1:4,1:4]"
      ],
      "metadata": {
        "id": "S85TJkR3z-ud",
        "outputId": "22295ff1-bb4e-4fc1-fb3b-697db9b68f93",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[12, 13, 14],\n",
              "       [22, 23, 24],\n",
              "       [32, 33, 34]])"
            ]
          },
          "metadata": {},
          "execution_count": 243
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Print all row and 2nd and 3rd column\n",
        "matrix[:, 1:3]"
      ],
      "metadata": {
        "id": "6i-7smQW0I5o",
        "outputId": "8b0fd733-7d16-4a7f-d501-c4049749d034",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 2,  3],\n",
              "       [12, 13],\n",
              "       [22, 23],\n",
              "       [32, 33],\n",
              "       [42, 43],\n",
              "       [52, 53],\n",
              "       [62, 63],\n",
              "       [72, 73],\n",
              "       [82, 83],\n",
              "       [92, 93]])"
            ]
          },
          "metadata": {},
          "execution_count": 244
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Print full matrix\n",
        "matrix[:]"
      ],
      "metadata": {
        "id": "KHLdZp-U0pCh",
        "outputId": "bd374e01-2a36-410c-ab23-2a47052621e6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[  1,   2,   3,   4,   5,   6,   7,   8,   9,  10],\n",
              "       [ 11,  12,  13,  14,  15,  16,  17,  18,  19,  20],\n",
              "       [ 21,  22,  23,  24,  25,  26,  27,  28,  29,  30],\n",
              "       [ 31,  32,  33,  34,  35,  36,  37,  38,  39,  40],\n",
              "       [ 41,  42,  43,  44,  45,  46,  47,  48,  49,  50],\n",
              "       [ 51,  52,  53,  54,  55,  56,  57,  58,  59,  60],\n",
              "       [ 61,  62,  63,  64,  65,  66,  67,  68,  69,  70],\n",
              "       [ 71,  72,  73,  74,  75,  76,  77,  78,  79,  80],\n",
              "       [ 81,  82,  83,  84,  85,  86,  87,  88,  89,  90],\n",
              "       [ 91,  92,  93,  94,  95,  96,  97,  98,  99, 100]])"
            ]
          },
          "metadata": {},
          "execution_count": 245
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Print full matrix\n",
        "matrix[:,:]"
      ],
      "metadata": {
        "id": "g2-OM0rg1HTW",
        "outputId": "40038d44-9727-412b-f1cc-cb058e2eb855",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[  1,   2,   3,   4,   5,   6,   7,   8,   9,  10],\n",
              "       [ 11,  12,  13,  14,  15,  16,  17,  18,  19,  20],\n",
              "       [ 21,  22,  23,  24,  25,  26,  27,  28,  29,  30],\n",
              "       [ 31,  32,  33,  34,  35,  36,  37,  38,  39,  40],\n",
              "       [ 41,  42,  43,  44,  45,  46,  47,  48,  49,  50],\n",
              "       [ 51,  52,  53,  54,  55,  56,  57,  58,  59,  60],\n",
              "       [ 61,  62,  63,  64,  65,  66,  67,  68,  69,  70],\n",
              "       [ 71,  72,  73,  74,  75,  76,  77,  78,  79,  80],\n",
              "       [ 81,  82,  83,  84,  85,  86,  87,  88,  89,  90],\n",
              "       [ 91,  92,  93,  94,  95,  96,  97,  98,  99, 100]])"
            ]
          },
          "metadata": {},
          "execution_count": 246
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#To know item store space\n",
        "matrix.itemsize"
      ],
      "metadata": {
        "id": "ZO5KgRXS1QoO",
        "outputId": "473067ce-fedb-47b0-b270-007f251dd919",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {},
          "execution_count": 247
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#To know DataType\n",
        "matrix.dtype"
      ],
      "metadata": {
        "id": "6jWtZRLz1qzZ",
        "outputId": "e84570e7-72d1-4691-9b0a-4e1597fafe49",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dtype('int64')"
            ]
          },
          "metadata": {},
          "execution_count": 248
        }
      ]
    }
  ]
}