diff --git a/Numpy (26.02)/Numpy_Task.ipynb b/Numpy (26.02)/Numpy_Task.ipynb
index 593ba20..84205c5 100644
--- a/Numpy (26.02)/Numpy_Task.ipynb	
+++ b/Numpy (26.02)/Numpy_Task.ipynb	
@@ -3,6 +3,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "cceba168",
    "metadata": {
     "id": "medieval-detail"
    },
@@ -13,6 +14,7 @@
   },
   {
    "cell_type": "markdown",
+   "id": "6a6688d3",
    "metadata": {
     "id": "abstract-istanbul"
    },
@@ -25,20 +27,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "id": "entertaining-automation"
-   },
-   "outputs": [],
+   "execution_count": 1,
+   "id": "ac44c5bd",
+   "metadata": {
+    "id": "entertaining-automation",
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "ename": "NameError",
+     "evalue": "name 'np' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-1-7bb5e7d1e1f4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mpython_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpython_list\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpython_list\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"numpy.ndarray\"\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0;32melse\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpython_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpython_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'np' is not defined"
+     ]
+    }
+   ],
    "source": [
     "python_list = [1, 12, 13, 45, 76, 45, 98, 0]\n",
     "print()\n",
-    "python_list = \n",
-    "print()"
+    "python_list = python_list if type(python_list) == \"numpy.ndarray\" \\\n",
+    "    else np.array(python_list)\n",
+    "print(type(python_list))"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "3b18909f",
    "metadata": {
     "id": "loose-tobago"
    },
@@ -50,17 +75,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "10635970",
    "metadata": {
     "id": "included-polymer"
    },
    "outputs": [],
    "source": [
-    "z = \n",
+    "z = np.array([1.5 for i in range(10)])\n",
     "print(z)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "18d509de",
    "metadata": {
     "id": "threatened-theme"
    },
@@ -72,17 +99,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "7c914b1a",
    "metadata": {
     "id": "alert-endorsement"
    },
    "outputs": [],
    "source": [
-    "z = \n",
+    "z = np.zeros(25)\n",
     "print(z)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "dfb9593b",
    "metadata": {
     "id": "federal-blackberry"
    },
@@ -94,17 +123,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "4690a3cc",
    "metadata": {
     "id": "static-filing"
    },
    "outputs": [],
    "source": [
-    "ones = \n",
+    "ones = np.ones(12)\n",
     "print(ones)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "04a0f114",
    "metadata": {
     "id": "whole-chassis"
    },
@@ -117,17 +148,19 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "18788760",
    "metadata": {
     "id": "outstanding-deviation"
    },
    "outputs": [],
    "source": [
-    "ones = \n",
+    "ones = ones.reshape((3,4))\n",
     "ones.shape"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "ae64a711",
    "metadata": {
     "id": "cubic-noise"
    },
@@ -140,19 +173,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "49c38501",
    "metadata": {
     "id": "foster-memory"
    },
    "outputs": [],
    "source": [
-    "Z = \n",
+    "Z = np.arange(1, 21, 1).reshape(4,5)\n",
     "print(Z)\n",
-    "\n",
+    "Z[2, 3] = -99\n",
     "print(Z)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "d0f92dd1",
    "metadata": {
     "id": "helpful-table"
    },
@@ -165,19 +200,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "7d707a34",
    "metadata": {
     "id": "magnetic-leone"
    },
    "outputs": [],
    "source": [
-    "first = \n",
+    "first = np.random.randint(-10, 11, 15)\n",
     "print(first)\n",
-    "second = \n",
+    "second = first[::-1]\n",
     "print(second)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "30799b42",
    "metadata": {
     "id": "executed-september"
    },
@@ -190,19 +227,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "9b9651b4",
    "metadata": {
     "id": "pharmaceutical-sigma"
    },
    "outputs": [],
    "source": [
-    "first = \n",
+    "first = np.random.randint(-15, 16, 25).reshape(5, 5)\n",
     "print(first)\n",
-    "\n",
+    "first = np.array([x ** 2 if x < 0 else x for x in first.flatten()]).reshape(5, 5)\n",
     "print(first)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "a9e69478",
    "metadata": {
     "id": "floral-difference"
    },
@@ -217,17 +256,22 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "5e0abcf3",
    "metadata": {
     "id": "saving-conference"
    },
    "outputs": [],
    "source": [
-    "first = \n",
-    "print(first)\n"
+    "first = np.random.randint(-15, 16, 15).reshape(3, 5)\n",
+    "print(first)\n",
+    "print(\"Max: \", first.max(), \"Min: \", first.min())\n",
+    "print(\"AvgCols: \", first.mean(axis=0))\n",
+    "print(\"AvgRows: \", first.mean(axis=1))"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "57a99904",
    "metadata": {
     "id": "diagnostic-departure"
    },
@@ -241,6 +285,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "ae9efb00",
    "metadata": {
     "id": "olympic-qatar"
    },
@@ -249,14 +294,15 @@
     "a = np.random.randint(-10, 10, (2, 5))\n",
     "first_axis = np.random.randint(4, 6)\n",
     "b = np.random.randint(-10, 10, (first_axis, 3))\n",
-    "if :\n",
-    "    print(a @ b)\n",
+    "if a.shape[1] == b.shape[0]:\n",
+    "    print(a.dot(b))\n",
     "else:\n",
-    "    "
+    "    raise Exception()"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "4234d89f",
    "metadata": {
     "id": "governmental-austin"
    },
@@ -269,19 +315,23 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "de154fa9",
    "metadata": {
     "id": "suffering-mauritius"
    },
    "outputs": [],
    "source": [
-    "mask = \n",
-    "matrix = \n",
+    "mask = np.random.uniform(2, 12, (5, 5))\n",
+    "print(mask)\n",
     "\n",
+    "matrix = np.copy(mask)\n",
+    "matrix[np.tril_indices(matrix.shape[0], -1)] = 0\n",
     "print(matrix)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "eeb9163f",
    "metadata": {
     "id": "altered-baghdad"
    },
@@ -294,19 +344,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "bf4bf650",
    "metadata": {
     "id": "refined-stuff"
    },
    "outputs": [],
    "source": [
-    "mask = \n",
-    "matrix = \n",
-    "\n",
+    "mask = np.random.normal(10, 2, (5, 5))\n",
+    "matrix = np.copy(mask)\n",
+    "matrix[np.diag_indices(mask.shape[0])] = 0\n",
     "print(matrix)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "b297487b",
    "metadata": {
     "id": "quiet-complement"
    },
@@ -318,6 +370,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "0c6f03c3",
    "metadata": {
     "id": "french-fighter"
    },
@@ -327,12 +380,13 @@
     "print(a)\n",
     "b = np.random.randint(0,2,5)\n",
     "print(b)\n",
-    "equal = \n",
+    "equal = np.array_equal(a, b)\n",
     "equal"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "582bcbcf",
    "metadata": {
     "id": "color-amplifier"
    },
@@ -348,22 +402,24 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "1b6adc2c",
    "metadata": {
     "id": "close-daisy"
    },
    "outputs": [],
    "source": [
-    "r, c = \n",
-    "a = \n",
+    "r, c = (np.random.randint(3, 8), np.random.randint(2, 13))\n",
+    "a = np.random.sample((r, c))\n",
     "print(a)\n",
-    "N = \n",
+    "N = np.random.randint(1, r * c / 2)\n",
     "print(N)\n",
-    "sample = \n",
+    "sample = np.random.choice(a.flatten(), N)\n",
     "print(sample)"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "9d033f71",
    "metadata": {
     "id": "patent-african"
    },
@@ -377,19 +433,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "706e4752",
    "metadata": {
     "id": "taken-fabric"
    },
    "outputs": [],
    "source": [
     "a = np.array([1, np.NaN, np.Inf], float)\n",
-    "\n",
-    "\n",
+    "a[np.isnan(a)] = 0\n",
+    "a[np.isinf(a)] = 0\n",
     "a"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "f9c075e8",
    "metadata": {
     "id": "analyzed-ireland"
    },
@@ -402,19 +460,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "0cb23382",
    "metadata": {
     "id": "imposed-digest"
    },
    "outputs": [],
    "source": [
-    "axis = \n",
+    "axis = np.random.randint(2, 5, np.random.randint(2, 6))\n",
     "print(axis)\n",
-    "matrix = \n",
-    "print(...)"
+    "matrix = np.random.sample(axis)\n",
+    "print(len(matrix.shape))"
    ]
   },
   {
    "cell_type": "markdown",
+   "id": "a81cdf7a",
    "metadata": {
     "id": "regulation-colleague"
    },
@@ -428,6 +488,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "15e02c68",
    "metadata": {
     "id": "concerned-anthropology"
    },
@@ -435,9 +496,9 @@
    "source": [
     "matrix = np.random.normal(50, 10, (10,3))\n",
     "print(matrix)\n",
-    "indexes = \n",
+    "indexes = np.argmax(matrix, axis=1)\n",
     "print(indexes)\n",
-    "print(...)"
+    "print([matrix[i, j] for i, j in enumerate(indexes)])"
    ]
   }
  ],
@@ -462,7 +523,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.6.15"
   }
  },
  "nbformat": 4,