PY0101EN-2-2-Lists.ipynb

{
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   "source": [
    "<center>\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/IDSNlogo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
    "</center>\n",
    "\n",
    "# Lists in Python\n",
    "\n",
    "Estimated time needed: **15** minutes\n",
    "\n",
    "## Objectives\n",
    "\n",
    "After completing this lab you will be able to:\n",
    "\n",
    "*   Perform list operations in Python, including indexing, list manipulation, and copy/clone list.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Table of Contents</h2>\n",
    "<div class=\"alert alert-block alert-info\" style=\"margin-thttps://op/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_https://co/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01ntent=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01: 20px\">\n",
    "    <ul>\n",
    "        <li>\n",
    "            <a href=\"https://#dataset\">About the Dataset</a>\n",
    "        </li>\n",
    "        <li>\n",
    "            <a href=\"https://#list\">Lists</a>\n",
    "            <ul>\n",
    "                <li><a href=\"https://index/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_https://content/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01\">Indexing</a></li>\n",
    "                <li><a href=\"content\">List Content</a></li>\n",
    "                <li><a href=\"op\">List Operations</a></li>\n",
    "                <li><a href=\"co\">Copy and Clone List</a></li>\n",
    "            </ul>\n",
    "        </li>\n",
    "        <li>\n",
    "            <a href=\"https://#quiz\">Quiz on Lists</a>\n",
    "        </li>\n",
    "    </ul>\n",
    "\n",
    "</div>\n",
    "\n",
    "<hr>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 id=\"#dataset\">About the Dataset</h2>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Imagine you received album recommendations from your friends and compiled all of the recommandations into a table, with specific information about each album.\n",
    "\n",
    "The table has one row for each movie and several columns:\n",
    "\n",
    "*   **artist** - Name of the artist\n",
    "*   **album** - Name of the album\n",
    "*   **released_year** - Year the album was released\n",
    "*   **length_min_sec** - Length of the album (hours,minutes,seconds)\n",
    "*   **genre** - Genre of the album\n",
    "*   **music_recording_sales_millions** - Music recording sales (millions in USD) on [SONG://DATABASE](http://www.song-database.com/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01)\n",
    "*   **claimed_sales_millions** - Album's claimed sales (millions in USD) on [SONG://DATABASE](http://www.song-database.com/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01)\n",
    "*   **date_released** - Date on which the album was released\n",
    "*   **soundtrack** - Indicates if the album is the movie soundtrack (Y) or (N)\n",
    "*   **rating_of_friends** - Indicates the rating from your friends from 1 to 10\n",
    "\n",
    "<br>\n",
    "<br>\n",
    "\n",
    "The dataset can be seen below:\n",
    "\n",
    "<font size=\"1\">\n",
    "<table font-size:xx-small>\n",
    "  <tr>\n",
    "    <th>Artist</th>\n",
    "    <th>Album</th> \n",
    "    <th>Released</th>\n",
    "    <th>Length</th>\n",
    "    <th>Genre</th> \n",
    "    <th>Music recording sales (millions)</th>\n",
    "    <th>Claimed sales (millions)</th>\n",
    "    <th>Released</th>\n",
    "    <th>Soundtrack</th>\n",
    "    <th>Rating (friends)</th>\n",
    "  </tr>\n",
    "  <tr>\n",
    "    <td>Michael Jackson</td>\n",
    "    <td>Thriller</td> \n",
    "    <td>1982</td>\n",
    "    <td>00:42:19</td>\n",
    "    <td>Pop, rock, R&B</td>\n",
    "    <td>46</td>\n",
    "    <td>65</td>\n",
    "    <td>30-Nov-82</td>\n",
    "    <td></td>\n",
    "    <td>10.0</td>\n",
    "  </tr>\n",
    "  <tr>\n",
    "    <td>AC/DC</td>\n",
    "    <td>Back in Black</td> \n",
    "    <td>1980</td>\n",
    "    <td>00:42:11</td>\n",
    "    <td>Hard rock</td>\n",
    "    <td>26.1</td>\n",
    "    <td>50</td>\n",
    "    <td>25-Jul-80</td>\n",
    "    <td></td>\n",
    "    <td>8.5</td>\n",
    "  </tr>\n",
    "    <tr>\n",
    "    <td>Pink Floyd</td>\n",
    "    <td>The Dark Side of the Moon</td> \n",
    "    <td>1973</td>\n",
    "    <td>00:42:49</td>\n",
    "    <td>Progressive rock</td>\n",
    "    <td>24.2</td>\n",
    "    <td>45</td>\n",
    "    <td>01-Mar-73</td>\n",
    "    <td></td>\n",
    "    <td>9.5</td>\n",
    "  </tr>\n",
    "    <tr>\n",
    "    <td>Whitney Houston</td>\n",
    "    <td>The Bodyguard</td> \n",
    "    <td>1992</td>\n",
    "    <td>00:57:44</td>\n",
    "    <td>Soundtrack/R&B, soul, pop</td>\n",
    "    <td>26.1</td>\n",
    "    <td>50</td>\n",
    "    <td>25-Jul-80</td>\n",
    "    <td>Y</td>\n",
    "    <td>7.0</td>\n",
    "  </tr>\n",
    "    <tr>\n",
    "    <td>Meat Loaf</td>\n",
    "    <td>Bat Out of Hell</td> \n",
    "    <td>1977</td>\n",
    "    <td>00:46:33</td>\n",
    "    <td>Hard rock, progressive rock</td>\n",
    "    <td>20.6</td>\n",
    "    <td>43</td>\n",
    "    <td>21-Oct-77</td>\n",
    "    <td></td>\n",
    "    <td>7.0</td>\n",
    "  </tr>\n",
    "    <tr>\n",
    "    <td>Eagles</td>\n",
    "    <td>Their Greatest Hits (1971-1975)</td> \n",
    "    <td>1976</td>\n",
    "    <td>00:43:08</td>\n",
    "    <td>Rock, soft rock, folk rock</td>\n",
    "    <td>32.2</td>\n",
    "    <td>42</td>\n",
    "    <td>17-Feb-76</td>\n",
    "    <td></td>\n",
    "    <td>9.5</td>\n",
    "  </tr>\n",
    "    <tr>\n",
    "    <td>Bee Gees</td>\n",
    "    <td>Saturday Night Fever</td> \n",
    "    <td>1977</td>\n",
    "    <td>1:15:54</td>\n",
    "    <td>Disco</td>\n",
    "    <td>20.6</td>\n",
    "    <td>40</td>\n",
    "    <td>15-Nov-77</td>\n",
    "    <td>Y</td>\n",
    "    <td>9.0</td>\n",
    "  </tr>\n",
    "    <tr>\n",
    "    <td>Fleetwood Mac</td>\n",
    "    <td>Rumours</td> \n",
    "    <td>1977</td>\n",
    "    <td>00:40:01</td>\n",
    "    <td>Soft rock</td>\n",
    "    <td>27.9</td>\n",
    "    <td>40</td>\n",
    "    <td>04-Feb-77</td>\n",
    "    <td></td>\n",
    "    <td>9.5</td>\n",
    "  </tr>\n",
    "</table></font>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 id=\"list\">Lists</h2>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 id=\"index\">Indexing</h3>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are going to take a look at lists in Python. A list is a sequenced collection of different objects such as integers, strings, and even other lists as well. The address of each element within a list is called an <b>index</b>. An index is used to access and refer to items within a list.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%202/images/ListsIndex.png\" width=\"1000\" />\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To create a list, type the list within square brackets <b>\\[ ]</b>, with your content inside the parenthesis and separated by commas. Let’s try it!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Michael Jackson', 10.1, 1982]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a list\n",
    "\n",
    "L = [\"Michael Jackson\", 10.1, 1982]\n",
    "L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use negative and regular indexing with a list:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%202/images/ListsNeg.png\" width=\"1000\" />\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the same element using negative and positive indexing:\n",
      " Postive: Michael Jackson \n",
      " Negative: Michael Jackson\n",
      "the same element using negative and positive indexing:\n",
      " Postive: 10.1 \n",
      " Negative: 10.1\n",
      "the same element using negative and positive indexing:\n",
      " Postive: 1982 \n",
      " Negative: 1982\n"
     ]
    }
   ],
   "source": [
    "# Print the elements on each index\n",
    "\n",
    "print('the same element using negative and positive indexing:\\n Postive:',L[0],\n",
    "'\\n Negative:' , L[-3]  )\n",
    "print('the same element using negative and positive indexing:\\n Postive:',L[1],\n",
    "'\\n Negative:' , L[-2]  )\n",
    "print('the same element using negative and positive indexing:\\n Postive:',L[2],\n",
    "'\\n Negative:' , L[-1]  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 id=\"content\">List Content</h3>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lists can contain strings, floats, and integers. We can nest other lists, and we can also nest tuples and other data structures. The same indexing conventions apply for nesting:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Michael Jackson', 10.1, 1982, [1, 2], ('A', 1)]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sample List\n",
    "\n",
    "[\"Michael Jackson\", 10.1, 1982, [1, 2], (\"A\", 1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 id=\"op\">List Operations</h3>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also perform slicing in lists. For example, if we want the last two elements, we use the following command:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Michael Jackson', 10.1, 1982, 'MJ', 1]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sample List\n",
    "\n",
    "L = [\"Michael Jackson\", 10.1,1982,\"MJ\",1]\n",
    "L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%202/images/ListsSlice.png\" width=\"1000\">\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['MJ', 1]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List slicing\n",
    "\n",
    "L[3:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use the method <code>extend</code> to add new elements to the list:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Michael Jackson', 10.2, 'pop', 10]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use extend to add elements to list\n",
    "\n",
    "L = [ \"Michael Jackson\", 10.2]\n",
    "L.extend(['pop', 10])\n",
    "L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another similar method is <code>append</code>. If we apply <code>append</code> instead of <code>extend</code>, we add one element to the list:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Michael Jackson', 10.2, ['pop', 10]]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use append to add elements to list\n",
    "\n",
    "L = [ \"Michael Jackson\", 10.2]\n",
    "L.append(['pop', 10])\n",
    "L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each time we apply a method, the list changes. If we apply <code>extend</code> we add two new elements to the list. The list <code>L</code> is then modified by adding two new elements:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Michael Jackson', 10.2, 'pop', 10]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use extend to add elements to list\n",
    "\n",
    "L = [ \"Michael Jackson\", 10.2]\n",
    "L.extend(['pop', 10])\n",
    "L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we append the list  <code>\\['a','b']</code> we have one new element consisting of a nested list:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Michael Jackson', 10.2, 'pop', 10, ['a', 'b']]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use append to add elements to list\n",
    "\n",
    "L.append(['a','b'])\n",
    "L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As lists are mutable, we can change them. For example, we can change the first element as follows:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before change: ['disco', 10, 1.2]\n",
      "After change: ['hard rock', 10, 1.2]\n"
     ]
    }
   ],
   "source": [
    "# Change the element based on the index\n",
    "\n",
    "A = [\"disco\", 10, 1.2]\n",
    "print('Before change:', A)\n",
    "A[0] = 'hard rock'\n",
    "print('After change:', A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also delete an element of a list using the <code>del</code> command:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before change: ['hard rock', 10, 1.2]\n",
      "After change: [10, 1.2]\n"
     ]
    }
   ],
   "source": [
    "# Delete the element based on the index\n",
    "\n",
    "print('Before change:', A)\n",
    "del(A[0])\n",
    "print('After change:', A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can convert a string to a list using <code>split</code>.  For example, the method <code>split</code> translates every group of characters separated by a space into an element in a list:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['hard', 'rock']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split the string, default is by space\n",
    "\n",
    "'hard rock'.split()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use the split function to separate strings on a specific character which we call a **delimiter**. We pass the character we would like to split on into the argument, which in this case is a comma.  The result is a list, and each element corresponds to a set of characters that have been separated by a comma:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['A', 'B', 'C', 'D']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Split the string by comma\n",
    "\n",
    "'A,B,C,D'.split(',')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3 id=\"co\">Copy and Clone List</h3>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we set one variable <b>B</b> equal to <b>A</b>, both <b>A</b> and <b>B</b> are referencing the same list in memory:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A: ['hard rock', 10, 1.2]\n",
      "B: ['hard rock', 10, 1.2]\n"
     ]
    }
   ],
   "source": [
    "# Copy (copy by reference) the list A\n",
    "\n",
    "A = [\"hard rock\", 10, 1.2]\n",
    "B = A\n",
    "print('A:', A)\n",
    "print('B:', B)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%202/images/ListsRef.png\" width=\"1000\" align=\"center\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initially, the value of the first element in <b>B</b> is set as \"hard rock\". If we change the first element in <b>A</b> to <b>\"banana\"</b>, we get an unexpected side effect.  As <b>A</b> and <b>B</b> are referencing the same list, if we change list <b>A</b>, then list <b>B</b> also changes. If we check the first element of <b>B</b> we get \"banana\" instead of \"hard rock\":\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "B[0]: hard rock\n",
      "B[0]: banana\n"
     ]
    }
   ],
   "source": [
    "# Examine the copy by reference\n",
    "\n",
    "print('B[0]:', B[0])\n",
    "A[0] = \"banana\"\n",
    "print('B[0]:', B[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is demonstrated in the following figure:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%202/images/ListsRefGif.gif\" width=\"1000\" />\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can clone list **A** by using  the following syntax:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['banana', 10, 1.2]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Clone (clone by value) the list A\n",
    "\n",
    "B = A[:]\n",
    "B"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Variable **B** references a new copy or clone of the original list. This is demonstrated in the following figure:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-PY0101EN-SkillsNetwork/labs/Module%202/images/ListsVal.gif\" width=\"1000\" />\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now if you change <b>A</b>, <b>B</b> will not change:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "B[0]: banana\n",
      "B[0]: banana\n"
     ]
    }
   ],
   "source": [
    "print('B[0]:', B[0])\n",
    "A[0] = \"hard rock\"\n",
    "print('B[0]:', B[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2 id=\"quiz\">Quiz on List</h2>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a list <code>a_list</code>, with the following elements <code>1</code>, <code>hello</code>, <code>\\[1,2,3]</code> and <code>True</code>.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 'hello', [1, 2, 3], True]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Write your code below and press Shift+Enter to execute\n",
    "a_list = [1,'hello',[1,2,3],True]\n",
    "a_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "a_list = [1, 'hello', [1, 2, 3] , True]\n",
    "a_list\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find the value stored at index 1 of <code>a_list</code>.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hello'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Write your code below and press Shift+Enter to execute\n",
    "'hello'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "a_list[1]\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Retrieve the elements stored at index 1, 2 and 3 of <code>a_list</code>.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['hello', [1, 2, 3], True]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Write your code below and press Shift+Enter to execute\n",
    "a_list[1:4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "a_list[1:4]\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Concatenate the following lists <code>A = \\[1, 'a']</code> and <code>B = \\[2, 1, 'd']</code>:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 'a', 2, 1, 'd']"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Write your code below and press Shift+Enter to execute\n",
    "a = [1,'a']\n",
    "b = [2,1,'d']\n",
    "a+b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details><summary>Click here for the solution</summary>\n",
    "\n",
    "```python\n",
    "A = [1, 'a'] \n",
    "B = [2, 1, 'd']\n",
    "A + B\n",
    "\n",
    "```\n",
    "\n",
    "</details>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "<h2>The last exercise!</h2>\n",
    "<p>Congratulations, you have completed your first lesson and hands-on lab in Python. \n",
    "<hr>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Author\n",
    "\n",
    "<a href=\"https://www.linkedin.com/in/joseph-s-50398b136/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01\" target=\"_blank\">Joseph Santarcangelo</a>\n",
    "\n",
    "## Other contributors\n",
    "\n",
    "<a href=\"https://www.linkedin.com/in/jiahui-mavis-zhou-a4537814a?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkPY0101ENSkillsNetwork19487395-2021-01-01\">Mavis Zhou</a>\n",
    "\n",
    "## Change Log\n",
    "\n",
    "| Date (YYYY-MM-DD) | Version | Changed By | Change Description                 |\n",
    "| ----------------- | ------- | ---------- | ---------------------------------- |\n",
    "| 2022-01-10        | 2.1     | Malika     | Removed the readme for GitShare    |\n",
    "| 2020-08-26        | 2.0     | Lavanya    | Moved lab to course repo in GitLab |\n",
    "|                   |         |            |                                    |\n",
    "|                   |         |            |                                    |\n",
    "\n",
    "## <h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
   ]
  }
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