From 2cc97d730871188351d2614a37e653fcbc9a23a0 Mon Sep 17 00:00:00 2001
From: Adriraj-09 <55662182+Adriraj-09@users.noreply.github.com>
Date: Thu, 5 Mar 2020 21:18:42 +0530
Subject: [PATCH 1/2] Assignment problem solved by Adriraj

---
 Questions/Excercise numpy .ipynb | 132 +++++++++++++++----------------
 1 file changed, 65 insertions(+), 67 deletions(-)

diff --git a/Questions/Excercise numpy .ipynb b/Questions/Excercise numpy .ipynb
index 671389b..6322d0c 100644
--- a/Questions/Excercise numpy .ipynb	
+++ b/Questions/Excercise numpy .ipynb	
@@ -29,18 +29,18 @@
       "metadata": {
         "id": "LIP5u4zi0Nmg",
         "colab_type": "code",
+        "outputId": "33b2d6e8-8f01-4ae8-baaf-e7b7144dff12",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 210
-        },
-        "outputId": "134a627c-b3fe-44de-80c4-e1aad6982509"
+          "height": 204
+        }
       },
       "source": [
         "import numpy as np #import numpy\n",
-        "a = np.linspace(-1.3,2.5,64)\n",
-        "print(a)"
+        "b = np.linspace(-1.3,2.5,64)\n",
+        "print(b)"
       ],
-      "execution_count": 3,
+      "execution_count": 1,
       "outputs": [
         {
           "output_type": "stream",
@@ -76,28 +76,28 @@
       "metadata": {
         "id": "4TxT66309n1o",
         "colab_type": "code",
+        "outputId": "c7f9cd9b-c670-432d-ec41-3f47b522e0cb",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 70
-        },
-        "outputId": "bbc54490-654d-48b5-e67b-4b2259a4bb4a"
+          "height": 68
+        }
       },
       "source": [
         "import numpy as np\n",
-        "a=np.array([1,2,3])\n",
-        "print (a)\n",
-        "n=input(\"Enter the array length : \")\n",
-        "b=np.resize(a,(3*int(n)))\n",
+        "s=np.array([1,2,3])\n",
+        "print (s)\n",
+        "ns=input(\"Enter the length of the array: \")\n",
+        "b=np.resize(s,(3*int(ns)))\n",
         "print (b)"
       ],
-      "execution_count": 2,
+      "execution_count": 17,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
             "[1 2 3]\n",
-            "Enter the array length : 6\n",
-            "[1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3]\n"
+            "Enter the length of the array: 5\n",
+            "[1 2 3 1 2 3 1 2 3 1 2 3 1 2 3]\n"
           ],
           "name": "stdout"
         }
@@ -118,23 +118,23 @@
       "metadata": {
         "id": "ebhEUZq29r32",
         "colab_type": "code",
+        "outputId": "16ac0d6e-0538-4a55-f6af-ef4c7d14074b",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "9e141103-cd42-4d5e-eb81-2fad744e8d33"
+        }
       },
       "source": [
         "import numpy as np\n",
-        "array=np.arange(1,10,2)\n",
-        "print(array) "
+        "a=np.arange(1,20,2)\n",
+        "print(a) "
       ],
       "execution_count": 4,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[1 3 5 7 9]\n"
+            "[ 1  3  5  7  9 11 13 15 17 19]\n"
           ],
           "name": "stdout"
         }
@@ -155,24 +155,24 @@
       "metadata": {
         "id": "gOlfuJCo-JwF",
         "colab_type": "code",
+        "outputId": "c645e5d0-6880-4b90-a242-a04415ab2966",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "8a61deea-16b2-4570-a9a3-a15592e0568e"
+        }
       },
       "source": [
         "import numpy as np\n",
-        "array1 = np.array([1,2,3,2,3,4,3,4,5,6])\n",
-        "array2 = np.array([7,2,10,2,7,4,9,4,9,8])\n",
-        "print(np.intersect1d(array1,array2))"
+        "a1 = np.array([1,2,3,4,5])\n",
+        "a2 = np.array([5,6,7,4,5,3])\n",
+        "print(np.intersect1d(a1,a2))"
       ],
-      "execution_count": 7,
+      "execution_count": 5,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[2 4]\n"
+            "[3 4 5]\n"
           ],
           "name": "stdout"
         }
@@ -193,11 +193,11 @@
       "metadata": {
         "id": "2E8b55_2Cjx5",
         "colab_type": "code",
+        "outputId": "9561727d-d1d6-4957-ff3d-3c8e1e054a59",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 52
-        },
-        "outputId": "9561727d-d1d6-4957-ff3d-3c8e1e054a59"
+        }
       },
       "source": [
         "import numpy as np\n",
@@ -205,7 +205,7 @@
         "b = np.reshape(a,(2,5))\n",
         "print(b)"
       ],
-      "execution_count": 8,
+      "execution_count": 0,
       "outputs": [
         {
           "output_type": "stream",
@@ -224,7 +224,7 @@
         "colab_type": "text"
       },
       "source": [
-        "6) Create a numpy array to list and vice versa"
+        "6) Change a numpy array to list and vice versa"
       ]
     },
     {
@@ -232,23 +232,23 @@
       "metadata": {
         "id": "TLWmsiiR0-T6",
         "colab_type": "code",
+        "outputId": "71be9de2-b1e8-4c78-a0e3-fbfd9b605df1",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "c9b67724-e858-4367-e411-4bceaf720157"
+        }
       },
       "source": [
         "import numpy as np\n",
-        "array = np.array([0,1,2,3,4,5,6,7,8,9])\n",
+        "array = np.array([1,2,3,3,4,5,6,6,5,9])\n",
         "print(array.tolist()) #array to list"
       ],
-      "execution_count": 20,
+      "execution_count": 6,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n"
+            "[1, 2, 3, 3, 4, 5, 6, 6, 5, 9]\n"
           ],
           "name": "stdout"
         }
@@ -259,24 +259,24 @@
       "metadata": {
         "id": "DGcqFBR51jfh",
         "colab_type": "code",
+        "outputId": "0e0ab628-6f45-4743-ced3-5e9e0b578e0f",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "0710a28e-91c5-42ad-ebef-f29f2ee4fe30"
+        }
       },
       "source": [
         "import numpy as np\n",
-        "list = [0,1,2,3,4,5,6,7,8,9]\n",
-        "array = np.array(list)\n",
-        "print(array)    #list to array\n"
+        "list = [1,2,3,3,4,5,6,6,5,9]\n",
+        "a = np.array(list)\n",
+        "print(a)    #list to array\n"
       ],
-      "execution_count": 23,
+      "execution_count": 9,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[0 1 2 3 4 5 6 7 8 9]\n"
+            "[1 2 3 3 4 5 6 6 5 9]\n"
           ],
           "name": "stdout"
         }
@@ -297,27 +297,27 @@
       "metadata": {
         "id": "4bjP3JAc9vRD",
         "colab_type": "code",
+        "outputId": "18cf9359-e895-436f-f5a8-ef61da17c75c",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 439
-        },
-        "outputId": "c6133be3-6ab5-4093-adb1-140e752eb782"
+          "height": 425
+        }
       },
       "source": [
         "import numpy as np\n",
-        "x = np.zeros((10,10))\n",
-        "print(\"1st array(10x10):\")\n",
-        "print(x)\n",
-        "print(\"after framing:\")\n",
-        "x = np.pad(x, pad_width=1, mode='constant', constant_values=1)\n",
-        "print(x)"
+        "a = np.zeros((10,10))\n",
+        "print(\"Array of 10X10 before framing:\")\n",
+        "print(a)\n",
+        "print(\"Array of 10X10 after framing:\")\n",
+        "a = np.pad(a, pad_width=1, mode='constant', constant_values=1)\n",
+        "print(a)"
       ],
-      "execution_count": 11,
+      "execution_count": 12,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "1st array(10x10):\n",
+            "Array of 10X10 before framing:\n",
             "[[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
             " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
             " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
@@ -328,7 +328,7 @@
             " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
             " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
             " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]\n",
-            "after framing:\n",
+            "Array of 10X10 after framing:\n",
             "[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n",
             " [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
             " [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
@@ -361,27 +361,25 @@
       "metadata": {
         "id": "No7fx0Xy9zEh",
         "colab_type": "code",
+        "outputId": "8c4fcd58-104c-48c3-e89e-0387e7caf3b5",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 175
-        },
-        "outputId": "4221ede7-f391-4b0f-f1af-939948521411"
+          "height": 153
+        }
       },
       "source": [
         "import numpy as np\n",
-        "x = np.ones((3,3))\n",
-        "print(\"Checkerboard pattern:\")\n",
-        "x = np.zeros((8,8),dtype=int)\n",
-        "x[1::2,::2] = 1\n",
-        "x[::2,1::2] = 1\n",
-        "print(x)"
+        "a = np.ones((3,3))\n",
+        "a = np.zeros((8,8),dtype=int)\n",
+        "a[1::2,::2] = 1\n",
+        "a[::2,1::2] = 1\n",
+        "print(a)\n"
       ],
-      "execution_count": 12,
+      "execution_count": 28,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "Checkerboard pattern:\n",
             "[[0 1 0 1 0 1 0 1]\n",
             " [1 0 1 0 1 0 1 0]\n",
             " [0 1 0 1 0 1 0 1]\n",

From 313ecc2301677890915214ef7d38dac345e02b04 Mon Sep 17 00:00:00 2001
From: Adriraj-09 <55662182+Adriraj-09@users.noreply.github.com>
Date: Thu, 5 Mar 2020 23:16:01 +0530
Subject: [PATCH 2/2] List1 assignment completed by me.

---
 Questions/List 1.ipynb | 126 ++++++++++++++++++++---------------------
 1 file changed, 61 insertions(+), 65 deletions(-)

diff --git a/Questions/List 1.ipynb b/Questions/List 1.ipynb
index 84accf7..41a908e 100644
--- a/Questions/List 1.ipynb	
+++ b/Questions/List 1.ipynb	
@@ -37,15 +37,15 @@
       "metadata": {
         "id": "bjl-2QkznWid",
         "colab_type": "code",
+        "outputId": "31d2161f-989f-4833-e627-55e2829a0739",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "4aeceb43-18b6-4d26-ca05-568c2800ce2b"
+        }
       },
       "source": [
-        "list = [1,2,3,4,5,6,7,8,9]\n",
-        "dummy_list = list\n",
+        "a = [1,3,5,6,7,9,10,11,13,15]\n",
+        "dummy_list = a\n",
         "print(dummy_list)"
       ],
       "execution_count": 1,
@@ -53,7 +53,7 @@
         {
           "output_type": "stream",
           "text": [
-            "[1, 2, 3, 4, 5, 6, 7, 8, 9]\n"
+            "[1, 3, 5, 6, 7, 9, 10, 11, 13, 15]\n"
           ],
           "name": "stdout"
         }
@@ -74,11 +74,11 @@
       "metadata": {
         "id": "RVL5178inz9M",
         "colab_type": "code",
+        "outputId": "9ed67958-c462-476a-c169-79177708769d",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "6cc5426d-17da-42e6-de25-2ca02988484a"
+        }
       },
       "source": [
         "print(dummy_list)"
@@ -88,7 +88,7 @@
         {
           "output_type": "stream",
           "text": [
-            "[1, 2, 3, 4, 5, 6, 7, 8, 9]\n"
+            "[1, 3, 5, 6, 7, 9, 10, 11, 13, 15]\n"
           ],
           "name": "stdout"
         }
@@ -109,26 +109,26 @@
       "metadata": {
         "id": "0Q5yeD9x9xIA",
         "colab_type": "code",
+        "outputId": "66a580b5-38af-4b47-d45c-185436be3b2f",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "5c8c2ebf-dca1-497f-a916-294206cdab80"
+        }
       },
       "source": [
         "def Reverse(dummy_list): \n",
-        "\tnew_list = dummy_list[::-1] \n",
-        "\treturn new_list \n",
+        "\tlist = dummy_list[::-1] \n",
+        "\treturn list \n",
         "\t\n",
-        "dummy_list = [1,2,3,4,5,6,7,8,9] \n",
+        "dummy_list = [1,3,5,6,7,9,10,11,13,15] \n",
         "print(Reverse(dummy_list)) "
       ],
-      "execution_count": 8,
+      "execution_count": 3,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[9, 8, 7, 6, 5, 4, 3, 2, 1]\n"
+            "[15, 13, 11, 10, 9, 7, 6, 5, 3, 1]\n"
           ],
           "name": "stdout"
         }
@@ -161,7 +161,7 @@
       "cell_type": "code",
       "metadata": {
         "colab_type": "code",
-        "outputId": "b1f3b7a6-2eea-4b82-f0ad-53ec5a0eb962",
+        "outputId": "e556787f-063a-4db3-8ff9-952b192605b3",
         "id": "5u_ZzmmJ-d1j",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -169,17 +169,17 @@
         }
       },
       "source": [
-        "dummy_list = [1,2,3,4,5,6,7,8,9]\n",
+        "dummy_list = [1,3,5,6,7,9,10,11,13,15]\n",
         "dummy_list_2 = [2, 200, 16, 4, 1, 0, 9.45, 45.67, 90, 12.01, 12.02]\n",
         "dummy_list = dummy_list + dummy_list_2\n",
         "print(dummy_list)"
       ],
-      "execution_count": 10,
+      "execution_count": 4,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[1, 2, 3, 4, 5, 6, 7, 8, 9, 2, 200, 16, 4, 1, 0, 9.45, 45.67, 90, 12.01, 12.02]\n"
+            "[1, 3, 5, 6, 7, 9, 10, 11, 13, 15, 2, 200, 16, 4, 1, 0, 9.45, 45.67, 90, 12.01, 12.02]\n"
           ],
           "name": "stdout"
         }
@@ -200,14 +200,14 @@
       "metadata": {
         "id": "Nsm8sYPyJoVU",
         "colab_type": "code",
-        "outputId": "5d3d7ab9-4132-446c-dae9-d2019517f8c4",
+        "outputId": "83808e72-b569-4a90-9c97-c2c575a65acc",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 263
+          "height": 187
         }
       },
       "source": [
-        "dummy_list = [1,2,3,2,200,16,4,1,0,9.45,45.67,90,12.01,12.02]\n",
+        "dummy_list = [1,3,5,6,7,9,10,11,13,15]\n",
         "\n",
         "dummy_dict = {}\n",
         "\n",
@@ -215,25 +215,21 @@
         "  dummy_dict[dummy_list[i]] = dummy_list.count(dummy_list[i])\n",
         "  print(dummy_dict)"
       ],
-      "execution_count": 11,
+      "execution_count": 5,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "{1: 2}\n",
-            "{1: 2, 2: 2}\n",
-            "{1: 2, 2: 2, 3: 1}\n",
-            "{1: 2, 2: 2, 3: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1, 0: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1, 0: 1, 9.45: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1, 0: 1, 9.45: 1, 45.67: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1, 0: 1, 9.45: 1, 45.67: 1, 90: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1, 0: 1, 9.45: 1, 45.67: 1, 90: 1, 12.01: 1}\n",
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1, 0: 1, 9.45: 1, 45.67: 1, 90: 1, 12.01: 1, 12.02: 1}\n"
+            "{1: 1}\n",
+            "{1: 1, 3: 1}\n",
+            "{1: 1, 3: 1, 5: 1}\n",
+            "{1: 1, 3: 1, 5: 1, 6: 1}\n",
+            "{1: 1, 3: 1, 5: 1, 6: 1, 7: 1}\n",
+            "{1: 1, 3: 1, 5: 1, 6: 1, 7: 1, 9: 1}\n",
+            "{1: 1, 3: 1, 5: 1, 6: 1, 7: 1, 9: 1, 10: 1}\n",
+            "{1: 1, 3: 1, 5: 1, 6: 1, 7: 1, 9: 1, 10: 1, 11: 1}\n",
+            "{1: 1, 3: 1, 5: 1, 6: 1, 7: 1, 9: 1, 10: 1, 11: 1, 13: 1}\n",
+            "{1: 1, 3: 1, 5: 1, 6: 1, 7: 1, 9: 1, 10: 1, 11: 1, 13: 1, 15: 1}\n"
           ],
           "name": "stdout"
         }
@@ -267,21 +263,21 @@
       "metadata": {
         "id": "qe5E5IgxpTWU",
         "colab_type": "code",
+        "outputId": "1f15afbe-4856-4888-c602-7c62c3f83d4a",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "9e2211bc-ae23-4685-e5eb-9499038850bb"
+        }
       },
       "source": [
         "print(dummy_dict)"
       ],
-      "execution_count": 12,
+      "execution_count": 6,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "{1: 2, 2: 2, 3: 1, 200: 1, 16: 1, 4: 1, 0: 1, 9.45: 1, 45.67: 1, 90: 1, 12.01: 1, 12.02: 1}\n"
+            "{1: 1, 3: 1, 5: 1, 6: 1, 7: 1, 9: 1, 10: 1, 11: 1, 13: 1, 15: 1}\n"
           ],
           "name": "stdout"
         }
@@ -301,7 +297,7 @@
       "cell_type": "code",
       "metadata": {
         "colab_type": "code",
-        "outputId": "a00db804-52c0-425d-cab1-8d791122c091",
+        "outputId": "a95b5328-2456-4d09-ddf1-42c5f27b137f",
         "id": "tFVJt1_x_nxr",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -309,16 +305,16 @@
         }
       },
       "source": [
-        "dummy_list = [1,2,3,2,200,16,4,1,0,9.45,45.67,90,12.01,12.02]\n",
+        "dummy_list = [1,3,5,6,7,9,10,11,13,15]\n",
         "dummy_list.sort()\n",
         "print(dummy_list)\n"
       ],
-      "execution_count": 14,
+      "execution_count": 7,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[0, 1, 1, 2, 2, 3, 4, 9.45, 12.01, 12.02, 16, 45.67, 90, 200]\n"
+            "[1, 3, 5, 6, 7, 9, 10, 11, 13, 15]\n"
           ],
           "name": "stdout"
         }
@@ -341,7 +337,7 @@
       "cell_type": "code",
       "metadata": {
         "colab_type": "code",
-        "outputId": "a1cd7a2d-793b-4002-dbbd-faa01756c06e",
+        "outputId": "7417a6ed-1591-45dc-ae7b-bd8210a7886a",
         "id": "YY2mWZkh_vHl",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -349,16 +345,16 @@
         }
       },
       "source": [
-        "dummy_list = [1,2,3,2,200,16,4,1,0,9.45,45.67,90,12.01,12.02]\n",
+        "dummy_list = [1,3,5,6,7,9,10,11,13,15]\n",
         "dummy_list.sort(reverse=True)\n",
         "print(dummy_list)\n"
       ],
-      "execution_count": 16,
+      "execution_count": 8,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[200, 90, 45.67, 16, 12.02, 12.01, 9.45, 4, 3, 2, 2, 1, 1, 0]\n"
+            "[15, 13, 11, 10, 9, 7, 6, 5, 3, 1]\n"
           ],
           "name": "stdout"
         }
@@ -394,18 +390,18 @@
       "metadata": {
         "id": "qZ_OxRW8_6uU",
         "colab_type": "code",
+        "outputId": "eaaec73d-5487-46a1-cf8c-c0145b0415b7",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 202
-        },
-        "outputId": "31affdcc-a4dd-4c65-f463-55185b30c59e"
+          "height": 198
+        }
       },
       "source": [
-        "dummy_list = [1,2,3,2,200,16,4,1.0,9.5,45.67,90,12.01,12.02]\n",
-        "dummy_list.remove(5) # 5 is not in this list\n",
+        "dummy_list = [1,3,5,6,7,9,10,11,13,15]\n",
+        "dummy_list.remove(20) # 20 is not in this list\n",
         "print(dummy_list)"
       ],
-      "execution_count": 18,
+      "execution_count": 9,
       "outputs": [
         {
           "output_type": "error",
@@ -414,7 +410,7 @@
           "traceback": [
             "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
             "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-            "\u001b[0;32m<ipython-input-18-eddaeb6137cd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mdummy_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m200\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1.0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m9.5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m45.67\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m90\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m12.01\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m12.02\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdummy_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# 5 is not in this list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdummy_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m<ipython-input-9-359b241d52b8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mdummy_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m7\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m13\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdummy_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# 20 is not in this list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdummy_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
             "\u001b[0;31mValueError\u001b[0m: list.remove(x): x not in list"
           ]
         }
@@ -435,18 +431,18 @@
       "metadata": {
         "id": "aMyo1gmRrVHo",
         "colab_type": "code",
+        "outputId": "fc3b6fec-77b7-45b2-cd66-96fcc47235b4",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 185
-        },
-        "outputId": "2d12d481-d82b-47de-a0b5-4f6fcef8ff1a"
+          "height": 181
+        }
       },
       "source": [
         "# Let's play: try doing the same with x > len(dummy_list) + 1 and see what you get\n",
-        "dummy_list.remove(15) #15 is not in this list\n",
+        "dummy_list.remove(12) #12 is not in this list\n",
         "print(dummy_list)"
       ],
-      "execution_count": 19,
+      "execution_count": 11,
       "outputs": [
         {
           "output_type": "error",
@@ -455,7 +451,7 @@
           "traceback": [
             "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
             "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-            "\u001b[0;32m<ipython-input-19-25cf3e23f361>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdummy_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m#15 is not in this list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdummy_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m<ipython-input-11-41dfa5f7a529>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdummy_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m12\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m#12 is not in this list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdummy_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
             "\u001b[0;31mValueError\u001b[0m: list.remove(x): x not in list"
           ]
         }
@@ -476,17 +472,17 @@
       "metadata": {
         "id": "qBC8lKpLrtJW",
         "colab_type": "code",
+        "outputId": "c98cf323-fd13-4123-e0c6-ae27e9ef25e5",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 34
-        },
-        "outputId": "a22a54a7-5700-41ce-b51d-fd4250684ffc"
+        }
       },
       "source": [
         "dummy_list.clear()\n",
         "print(dummy_list)"
       ],
-      "execution_count": 20,
+      "execution_count": 12,
       "outputs": [
         {
           "output_type": "stream",