diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 1fe9046..2e507fd 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -36,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,11 +64,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "html = requests.get(url).content\n",
+    "soup = BeautifulSoup(html)\n",
+    "soup1 = soup.find_all(\"div\", attrs = {\"class\": \"d-sm-flex flex-auto\"})"
    ]
   },
   {
@@ -126,11 +129,92 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "25"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "len(soup1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Jerry Liu'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "soup1[5].find_all(\"a\", attrs = {\"data-view-component\": \"true\"})[0].get_text().strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Johannes Köster',\n",
+       " 'Patrick von Platen',\n",
+       " 'Leonid Bugaev',\n",
+       " 'Stephen Celis',\n",
+       " 'anxdpanic',\n",
+       " 'Jerry Liu',\n",
+       " 'Sridhar Ratnakumar',\n",
+       " 'lijianan',\n",
+       " 'Thomas Eizinger',\n",
+       " 'Alan Shaw',\n",
+       " 'Luca Palmieri',\n",
+       " 'Michael Bui',\n",
+       " 'Harrison Chase',\n",
+       " 'HeYunfei',\n",
+       " 'Paul Beusterien',\n",
+       " 'bcoles',\n",
+       " 'pilcrowOnPaper',\n",
+       " 'Bjorn Lu',\n",
+       " 'Alessandro Ros',\n",
+       " 'yihong',\n",
+       " 'Erik Bernhardsson',\n",
+       " 'Hamish Willee',\n",
+       " 'Stefan Prodan',\n",
+       " 'Drew Powers',\n",
+       " 'Sebastian Muszynski']"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "names = []\n",
+    "for i in range(len(soup1)):\n",
+    "        x = soup1[i].find_all(\"a\", attrs = {\"data-view-component\": \"true\"})[0].get_text().strip()\n",
+    "        names.append(x)\n",
+    "names"
    ]
   },
   {
@@ -144,7 +228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -154,11 +238,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Fxtekky/Fgpt4free',\n",
+       " 'FAIGC-Audio/FAudioGPT',\n",
+       " 'Falaeddine-13/Fthinkgpt',\n",
+       " 'Fdeep-floyd/FIF',\n",
+       " 'FNVIDIA/FNeMo-Guardrails',\n",
+       " 'Fgaomingqi/FTrack-Anything',\n",
+       " 'Fnlpxucan/FWizardLM',\n",
+       " 'FCVI-SZU/FLinly',\n",
+       " 'Fdeforum-art/Fdeforum-stable-diffusion',\n",
+       " 'FGFW-knocker/Fgfw_resist_tls_proxy',\n",
+       " 'FX-PLUG/FmPLUG-Owl',\n",
+       " 'FUX-Decoder/FSegment-Everything-Everywhere-All-At-Once',\n",
+       " 'Fbhaskatripathi/FpdfGPT',\n",
+       " 'Fopenai/Fplugins-quickstart',\n",
+       " '/sponsors/freedmand',\n",
+       " 'Fopenai/Fchatgpt-retrieval-plugin',\n",
+       " 'Faniskoubaa/Frosgpt',\n",
+       " 'Fultralytics/Fultralytics',\n",
+       " 'Ffarshadz1997/FMicrosoft-Rewards-bot',\n",
+       " '/sponsors/521xueweihan',\n",
+       " 'FJun-CEN/FSegmentAnyRGBD',\n",
+       " 'Fopen-mmlab/Fmmagic',\n",
+       " 'Flocalstack/Flocalstack',\n",
+       " 'Fxtekky/Fchatgpt-clone',\n",
+       " 'Fbookfere/FEbook-Translator-Calibre-Plugin']"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "html = requests.get(url).content\n",
+    "soup = BeautifulSoup(html)\n",
+    "soup1 = soup.find_all(\"div\", attrs = {\"class\": \"position-relative container-lg p-responsive pt-6\"})\n",
+    "soup2 = soup1[0].find_all(\"article\", attrs = {\"class\": \"Box-row\"})\n",
+    "soup3 = soup2[0].a[\"href\"].strip()\n",
+    "names2 = []\n",
+    "for i in range(len(soup2)):\n",
+    "        x = soup2[i].a[\"href\"].strip().replace(\"/login?return_to=%2\",\"\").replace(\"%2\",\"/\")\n",
+    "        names2.append(x)\n",
+    "names2\n"
    ]
   },
   {
@@ -171,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -181,11 +310,50 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['/wiki/File:Walt_Disney_1946.JPG',\n",
+       " '/wiki/File:Walt_Disney_1942_signature.svg',\n",
+       " '/wiki/File:Walt_Disney_Birthplace_Exterior_Hermosa_Chicago_Illinois.jpg',\n",
+       " '/wiki/File:Walt_Disney_envelope_ca._1921.jpg',\n",
+       " '/wiki/File:Trolley_Troubles_poster.jpg',\n",
+       " '/wiki/File:Steamboat-willie.jpg',\n",
+       " '/wiki/File:Walt_Disney_1935.jpg',\n",
+       " '/wiki/File:Walt_Disney_Snow_white_1937_trailer_screenshot_(13).jpg',\n",
+       " '/wiki/File:Disney_drawing_goofy.jpg',\n",
+       " '/wiki/File:WaltDisneyplansDisneylandDec1954.jpg',\n",
+       " '/wiki/File:Walt_disney_portrait_right.jpg',\n",
+       " '/wiki/File:Walt_Disney_Grave.JPG',\n",
+       " '/wiki/File:Roy_O._Disney_with_Company_at_Press_Conference.jpg',\n",
+       " '/wiki/File:DisneySchiphol1951.jpg',\n",
+       " '/wiki/File:Disney1968.jpg',\n",
+       " '/wiki/File:Disney_Oscar_1953_(cropped).jpg',\n",
+       " '/wiki/File:Disneyland_Resort_logo.svg',\n",
+       " '/wiki/File:Animation_disc.svg',\n",
+       " '/wiki/File:Magic_Kingdom_castle.jpg',\n",
+       " '/wiki/File:Blank_television_set.svg']"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "link_list = []\n",
+    "html = requests.get(url).content\n",
+    "soup = BeautifulSoup(html)\n",
+    "\n",
+    "soup2 =soup.find_all(\"a\", attrs= {\"class\":\"image\"})\n",
+    "for item in range(len(soup2)):\n",
+    "    x =soup2[item].get(\"href\")\n",
+    "    link_list.append(x)\n",
+    "link_list"
    ]
   },
   {
@@ -197,7 +365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -207,11 +375,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'English': '6644000+',\n",
+       " 'Русский': '1909000+',\n",
+       " '日本語': '1370000+',\n",
+       " 'Deutsch': '2792000+',\n",
+       " 'Español': '1854000+',\n",
+       " 'Français': '2514000+',\n",
+       " 'Italiano': '1806000+',\n",
+       " '中文': '1347000+',\n",
+       " 'فارسی': 'فارسی',\n",
+       " 'Português': '1101000+'}"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "language = []\n",
+    "number = []\n",
+    "html = requests.get(url).content\n",
+    "soup = BeautifulSoup(html)\n",
+    "soup2 = soup.find_all(\"div\", attrs = {\"class\": \"central-featured\"})\n",
+    "soup3 = soup2[0].find_all(\"div\")\n",
+    "\n",
+    "for item in soup3:\n",
+    "    language.append(item.find_all(\"strong\")[0].get_text())\n",
+    "    number.append((item.find_all(\"bdi\")[0].get_text().replace('\\xa0', '')))\n",
+    "final = zip(language,number)\n",
+    "final =dict(final)\n",
+    "final"
    ]
   },
   {
@@ -224,7 +425,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -234,11 +435,146 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Language</th>\n",
+       "      <th>Native speakers (millions)</th>\n",
+       "      <th>Language family</th>\n",
+       "      <th>Branch</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Mandarin Chinese (incl. Standard Chinese, but ...</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>Sino-Tibetan</td>\n",
+       "      <td>Sinitic</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Spanish</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>Indo-European</td>\n",
+       "      <td>Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>English</td>\n",
+       "      <td>380.0</td>\n",
+       "      <td>Indo-European</td>\n",
+       "      <td>Germanic</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Hindi (excl. Urdu, and other languages)</td>\n",
+       "      <td>345.0</td>\n",
+       "      <td>Indo-European</td>\n",
+       "      <td>Indo-Aryan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Portuguese</td>\n",
+       "      <td>236.0</td>\n",
+       "      <td>Indo-European</td>\n",
+       "      <td>Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Bengali</td>\n",
+       "      <td>234.0</td>\n",
+       "      <td>Indo-European</td>\n",
+       "      <td>Indo-Aryan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Russian</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>Indo-European</td>\n",
+       "      <td>Balto-Slavic</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Japanese</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>Japonic</td>\n",
+       "      <td>Japanese</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Yue Chinese (incl. Cantonese)</td>\n",
+       "      <td>86.1</td>\n",
+       "      <td>Sino-Tibetan</td>\n",
+       "      <td>Sinitic</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Vietnamese</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>Austroasiatic</td>\n",
+       "      <td>Vietic</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                            Language   \n",
+       "0  Mandarin Chinese (incl. Standard Chinese, but ...  \\\n",
+       "1                                            Spanish   \n",
+       "2                                            English   \n",
+       "3            Hindi (excl. Urdu, and other languages)   \n",
+       "4                                         Portuguese   \n",
+       "5                                            Bengali   \n",
+       "6                                            Russian   \n",
+       "7                                           Japanese   \n",
+       "8                      Yue Chinese (incl. Cantonese)   \n",
+       "9                                         Vietnamese   \n",
+       "\n",
+       "   Native speakers (millions) Language family        Branch  \n",
+       "0                       939.0    Sino-Tibetan       Sinitic  \n",
+       "1                       485.0   Indo-European       Romance  \n",
+       "2                       380.0   Indo-European      Germanic  \n",
+       "3                       345.0   Indo-European    Indo-Aryan  \n",
+       "4                       236.0   Indo-European       Romance  \n",
+       "5                       234.0   Indo-European    Indo-Aryan  \n",
+       "6                       147.0   Indo-European  Balto-Slavic  \n",
+       "7                       123.0         Japonic      Japanese  \n",
+       "8                        86.1    Sino-Tibetan       Sinitic  \n",
+       "9                        85.0   Austroasiatic        Vietic  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "html = pd.read_html(url)\n",
+    "html[0].head(10)"
    ]
   },
   {
@@ -251,7 +587,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -261,11 +597,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'(1994)'"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "Movies = {}\n",
+    "html = requests.get(url).content\n",
+    "soup = BeautifulSoup(html)\n",
+    "soup2 = soup.find_all(\"tbody\", attrs = {\"class\": \"lister-list\"})\n",
+    "soup3 = soup2[0].find_all(\"a\")#, attrs = {\"class\": \"lister-list\"})\n",
+    "Name = soup3[0].img[\"alt\"]\n",
+    "year = soup2[0].find_all(\"span\", attrs={\"class\": \"secondaryInfo\"})[0].get_text()\n",
+    "\n",
+    "#soup3[1].a[\"title\"]\n",
+    "\n",
+    "#for item in soup3:\n",
+    "    #name = item.img[\"alt\"] \n",
+    "\n",
+    "\n",
+    " "
    ]
   },
   {
@@ -277,21 +639,238 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Pesadelo em Elm Street'"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#This is the url you will scrape in this exercise\n",
+    "url = 'https://www.imdb.com/list/ls009796553/'\n",
+    "# your code here\n",
+    "html = requests.get(url).content\n",
+    "soup = BeautifulSoup(html)\n",
+    "\n",
+    "soup2 = soup.find_all(\"div\", attrs = {\"class\":\"lister-item mode-detail\"})\n",
+    "soup3 = soup2[0].find_all(\"a\")\n",
+    "film_name = soup3[0].img[\"alt\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'(1984)'"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "year = soup2[0].find_all(\"span\", attrs = {\"class\":\"lister-item-year text-muted unbold\"})[0].get_text()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Teenager Nancy Thompson must uncover the dark truth concealed by her parents after she and her friends become targets of the spirit of a serial killer with a bladed glove in their dreams, in which if they die, it kills them in real life.'"
+      ]
+     },
+     "execution_count": 141,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Description = soup2[0].find_all(\"p\", attrs = {\"class\":\"\"})[0].get_text().strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#This is the url you will scrape in this exercise\n",
-    "url = 'https://www.imdb.com/list/ls009796553/'"
+    "movies = {}\n",
+    "index = 0\n",
+    "for item in range(11):\n",
+    "    soup3 =soup2[item].find_all(\"a\")\n",
+    "    film_name = soup3[0].img[\"alt\"]\n",
+    "    year =soup2[item].find_all(\"span\", attrs = {\"class\":\"lister-item-year text-muted unbold\"})[0].get_text()\n",
+    "    Description =soup2[item].find_all(\"p\", attrs = {\"class\":\"\"})[0].get_text().strip()\n",
+    "    movies[index] = {\"movie\": film_name,\n",
+    "              \"year\":year,\n",
+    "              \"Description\":Description}\n",
+    "    index +=1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 154,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "movies_df = pd.DataFrame(movies).T"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>movie</th>\n",
+       "      <th>year</th>\n",
+       "      <th>Description</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Pesadelo em Elm Street</td>\n",
+       "      <td>(1984)</td>\n",
+       "      <td>Teenager Nancy Thompson must uncover the dark ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Despertares</td>\n",
+       "      <td>(1990)</td>\n",
+       "      <td>The victims of an encephalitis epidemic many y...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Liga de Mulheres</td>\n",
+       "      <td>(1992)</td>\n",
+       "      <td>Two sisters join the first female professional...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Um Bairro em Nova Iorque</td>\n",
+       "      <td>(1993)</td>\n",
+       "      <td>A father becomes worried when a local gangster...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Anjos em Campo</td>\n",
+       "      <td>(1994)</td>\n",
+       "      <td>When a boy prays for a chance to have a family...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Tempo de Matar</td>\n",
+       "      <td>(1996)</td>\n",
+       "      <td>In Clanton, Mississippi, a fearless young lawy...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Amistad</td>\n",
+       "      <td>(1997)</td>\n",
+       "      <td>In 1839, the revolt of Mende captives aboard a...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Anaconda</td>\n",
+       "      <td>(1997)</td>\n",
+       "      <td>A \"National Geographic\" film crew is taken hos...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>A Cool, Dry Place</td>\n",
+       "      <td>(1998)</td>\n",
+       "      <td>Russell, single father balances his work as a ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>América Proibida</td>\n",
+       "      <td>(1998)</td>\n",
+       "      <td>A former neo-nazi skinhead tries to prevent hi...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Uma Questão de Nervos</td>\n",
+       "      <td>(1999)</td>\n",
+       "      <td>A comedy about a psychiatrist whose number-one...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       movie    year   \n",
+       "0     Pesadelo em Elm Street  (1984)  \\\n",
+       "1                Despertares  (1990)   \n",
+       "2           Liga de Mulheres  (1992)   \n",
+       "3   Um Bairro em Nova Iorque  (1993)   \n",
+       "4             Anjos em Campo  (1994)   \n",
+       "5             Tempo de Matar  (1996)   \n",
+       "6                    Amistad  (1997)   \n",
+       "7                   Anaconda  (1997)   \n",
+       "8          A Cool, Dry Place  (1998)   \n",
+       "9           América Proibida  (1998)   \n",
+       "10     Uma Questão de Nervos  (1999)   \n",
+       "\n",
+       "                                          Description  \n",
+       "0   Teenager Nancy Thompson must uncover the dark ...  \n",
+       "1   The victims of an encephalitis epidemic many y...  \n",
+       "2   Two sisters join the first female professional...  \n",
+       "3   A father becomes worried when a local gangster...  \n",
+       "4   When a boy prays for a chance to have a family...  \n",
+       "5   In Clanton, Mississippi, a fearless young lawy...  \n",
+       "6   In 1839, the revolt of Mende captives aboard a...  \n",
+       "7   A \"National Geographic\" film crew is taken hos...  \n",
+       "8   Russell, single father balances his work as a ...  \n",
+       "9   A former neo-nazi skinhead tries to prevent hi...  \n",
+       "10  A comedy about a psychiatrist whose number-one...  "
+      ]
+     },
+     "execution_count": 155,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "movies_df"
    ]
   },
   {
@@ -310,7 +889,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -321,7 +900,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -337,7 +916,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -348,7 +927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -365,9 +944,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['https://www.emsc-csem.org/Earthquake/?view=1',\n",
+       " 'https://www.emsc-csem.org/Earthquake/?view=2',\n",
+       " 'https://www.emsc-csem.org/Earthquake/?view=3',\n",
+       " 'https://www.emsc-csem.org/Earthquake/?view=4',\n",
+       " 'https://www.emsc-csem.org/Earthquake/?view=5']"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# This is the url you will scrape in this exercise\n",
     "url = 'https://www.emsc-csem.org/Earthquake/?view='\n",
@@ -385,7 +979,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -409,7 +1003,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,