diff --git a/Assignment/Assignment1 Numpy.ipynb b/Assignment/Assignment1 Numpy.ipynb
index 32d4ebd..f4f6727 100644
--- a/Assignment/Assignment1 Numpy.ipynb	
+++ b/Assignment/Assignment1 Numpy.ipynb	
@@ -19,7 +19,7 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": ["import numpy as np"]
   },
   {
    "cell_type": "markdown",
@@ -35,7 +35,11 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "list1=[1,2,3,4,5]"
+    "np.array(list1)"
+    "list1"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -50,8 +54,13 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [], 
+   "source": [
+    "matrix1=np.arrange(1,10)"
+    "matrix1=matrix1.reshape(3,3)"
+    "np.array(matrix1)"
+    "matrix1"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -71,7 +80,11 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+   "matrix2=np.arange(1,18,2)"
+   "matrix2=matrix2.reshape(3,3)"
+   "matrix2"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -85,7 +98,11 @@
    "execution_count": 6,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "arr=np.random.rand(0,10)*2"
+    "arr=np.array(arr)"
+    "arr"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -99,7 +116,11 @@
    "execution_count": 11,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+  " arr1=np.array([1,2,3,4,5])"
+   "arr1=arr.reshape(5,1)"
+   "print(arr1)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -113,7 +134,9 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "print(np.shape(arr1))"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -127,7 +150,12 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+   "arr2=np.array([19,45,12,67,23,56,79,90,21,78])"
+    "arr2[2]"
+    "arr2[3]"
+    "arr2[8]"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -141,7 +169,9 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+   "print(arr2[0:10:2])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -155,7 +185,10 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+   "arr2[7:]=100"
+    "arr"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -171,7 +204,11 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+   "mat = np.arange(5,30)"
+   "mat= mat.reshape(5,5)"
+   "print(mat[1:4print(mat),1:4])"
+   ]
   }
  ],
  "metadata": {