diff --git a/Kaushal2612.ipynb b/Kaushal2612.ipynb
index 9e2543a..1090310 100644
--- a/Kaushal2612.ipynb
+++ b/Kaushal2612.ipynb
@@ -1,32 +1,83 @@
 {
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "Kaushal2612.ipynb",
+      "version": "0.3.2",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "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": "3.5.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
+  "cells": [
+    {
+      "metadata": {
+        "id": "11-2L_m7oAu9",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "# -*- coding: utf-8 -*-\n",
+        "\"\"\"Numpy_Exercises.ipynb\n",
+        "\n",
+        "Automatically generated by Colaboratory.\n",
+        "\n",
+        "Original file is located at\n",
+        "    https://colab.research.google.com/drive/1Ho1yNgI2o5vXAly5PH2vv0UKOFNgpaeU\n",
+        "\n",
+        "# Numpy Exercises\n",
+        "\n",
+        "1) Create a uniform subdivision of the interval -1.3 to 2.5 with 64 subdivisions\n",
+        "\"\"\"\n",
+        "\n",
+        "import numpy as np #import numpy\n",
+        "b  =  np.linspace(-1.3,2.5, num=64)\n",
+        "\n",
+        "\n",
+        "\"\"\"2) Generate an array of length 3n filled with the cyclic pattern 1, 2, 3\"\"\"\n",
+        "x = np.array([1.0, 2.0, 3.0])\n",
+        "n=5\n",
+        "y = np.resize(x, 3*n)\n",
+        "\n",
+        "\n",
+        "\"\"\"3) Create an array of the first 10 odd integers.\"\"\"\n",
+        "a = np.array([1,3,5,7,9,11,13,15,17,19])\n",
+        "\n",
+        "\n",
+        "\"\"\"4) Find intersection of a and b\"\"\"\n",
+        "\n",
+        "#expected output array([2, 4])\n",
+        "a = np.array([1,2,3,2,3,4,3,4,5,6])\n",
+        "b = np.array([7,2,10,2,7,4,9,4,9,8])\n",
+        "np.intersect1d(a, b)\n",
+        "\n",
+        "\"\"\"5) Reshape 1d array a to 2d array of 2X5\"\"\"\n",
+        "\n",
+        "a = np.arange(10)\n",
+        "a.reshape(2,5)\n",
+        "\n",
+        "\"\"\"6) Create a numpy array to list and vice versa\"\"\"\n",
+        "\n",
+        "a = [1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
+        "a.tolist()\t#convert nparray to list\n",
+        "a = np.array(a)\n",
+        "\n",
+        "\"\"\"7) Create a 10 x 10 arrays of zeros and then \"frame\" it with a border of ones.\"\"\"\n",
+        "a = np.ones((10,10))\n",
+        "a[1:-1,1:-1] = 0\n",
+        "\n",
+        "\"\"\"8) Create an 8 x 8 array with a checkerboard pattern of zeros and ones using a slicing+striding approach.\"\"\"\n",
+        "a = np.zeros((8, 8), dtype = int)\n",
+        "a[1::2, ::2] = 1\n",
+        "a[::2, 1::2] = 1\n"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file