diff --git a/your-code/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/your-code/.ipynb_checkpoints/Untitled-checkpoint.ipynb
new file mode 100644
index 0000000..363fcab
--- /dev/null
+++ b/your-code/.ipynb_checkpoints/Untitled-checkpoint.ipynb
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb
new file mode 100644
index 0000000..c6fbfc1
--- /dev/null
+++ b/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb
@@ -0,0 +1,372 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Challenge 1: Tuples\n",
+    "\n",
+    "#### Do you know you can create tuples with only one element?\n",
+    "\n",
+    "**In the cell below, define a variable `tup` with a single element `\"I\"`.**\n",
+    "\n",
+    "*Hint: you need to add a comma (`,`) after the single element.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tup= (\"I\",)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Print the type of `tup`. \n",
+    "\n",
+    "Make sure its type is correct (i.e. *tuple* instead of *str*)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tuple"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(tup)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Now try to append the following elements to `tup`. \n",
+    "\n",
+    "Are you able to do it? Explain.\n",
+    "\n",
+    "```\n",
+    "\"r\", \"o\", \"n\", \"h\", \"a\", \"c\", \"k',\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'tuple' object has no attribute 'append'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[1;32mC:\\Users\\JUANCA~1\\AppData\\Local\\Temp/ipykernel_31256/2921012397.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtup\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'r'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;31m#It is not possible to append those elements because a tuple is a inmutable object.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'append'"
+     ]
+    }
+   ],
+   "source": [
+    "tup.append('r')\n",
+    "#It is not possible to append those elements because a tuple is a inmutable object."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### How about re-assign a new value to an existing tuple?\n",
+    "\n",
+    "Re-assign the following elements to `tup`. Are you able to do it? Explain.\n",
+    "\n",
+    "```\n",
+    "\"I\", \"r\", \"o\", \"n\", \"h\", \"a\", \"c\", \"k\"\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('I', 'r', 'o', 'n', 'h', 'a', 'c', 'k')"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lista= list(tup)\n",
+    "\n",
+    "lista.append('r')\n",
+    "lista.append('o')\n",
+    "lista.append('n')\n",
+    "lista.append('h')\n",
+    "lista.append('a')\n",
+    "lista.append('c')\n",
+    "lista.append('k')\n",
+    "\n",
+    "tup=tuple(lista)\n",
+    "tup\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n",
+    "#Se tiene que transformar la tupla en lista y, posteriormente, agregar uno por uno los elementos que pide el ejercicio mediante la función append. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Split `tup` into `tup1` and `tup2` with 4 elements in each. \n",
+    "\n",
+    "`tup1` should be `(\"I\", \"r\", \"o\", \"n\")` and `tup2` should be `(\"h\", \"a\", \"c\", \"k\")`.\n",
+    "\n",
+    "*Hint: use positive index numbers for `tup1` assignment and use negative index numbers for `tup2` assignment. Positive index numbers count from the beginning whereas negative index numbers count from the end of the sequence.*\n",
+    "\n",
+    "Also print `tup1` and `tup2`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('I', 'r', 'o', 'n')\n",
+      "('h', 'a', 'c', 'k')\n"
+     ]
+    }
+   ],
+   "source": [
+    "tup=list(tup)\n",
+    "tup\n",
+    "\n",
+    "tup1=tup[0:4]\n",
+    "tup2=tup[4:]\n",
+    "\n",
+    "tup1=tuple(tup1)\n",
+    "tup2=tuple(tup2)\n",
+    "\n",
+    "print(tup1)\n",
+    "print(tup2)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Add `tup1` and `tup2` into `tup3` using the `+` operator.\n",
+    "\n",
+    "Then print `tup3` and check if `tup3` equals to `tup`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('I', 'r', 'o', 'n', 'h', 'a', 'c', 'k')\n"
+     ]
+    }
+   ],
+   "source": [
+    "tup3= tup1+tup2\n",
+    "print(tup3)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Count the number of elements in `tup1` and `tup2`. Then add the two counts together and check if the sum is the same as the number of elements in `tup3`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tienen el mismo número de elementos\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "a=len(tup1)\n",
+    "b=len(tup2)\n",
+    "c=len(tup3)\n",
+    "\n",
+    "if a+b==c:\n",
+    "    print(\"Tienen el mismo número de elementos\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### What is the index number of `\"h\"` in `tup3`?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "tup3.index('h')\n",
+    "#El ínide de h es el 4"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Now, use a FOR loop to check whether each letter in the following list is present in `tup3`:\n",
+    "\n",
+    "```\n",
+    "letters = [\"a\", \"b\", \"c\", \"d\", \"e\"]\n",
+    "```\n",
+    "\n",
+    "For each letter you check, print `True` if it is present in `tup3` otherwise print `False`.\n",
+    "\n",
+    "*Hint: you only need to loop `letters`. You don't need to loop `tup3` because there is a Python operator `in` you can use. See [reference](https://stackoverflow.com/questions/17920147/how-to-check-if-a-tuple-contains-an-element-in-python).*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "a is true\n",
+      "b es false\n",
+      "c is true\n",
+      "d es false\n",
+      "e es false\n"
+     ]
+    }
+   ],
+   "source": [
+    "letters = [\"a\", \"b\", \"c\", \"d\", \"e\"]\n",
+    "\n",
+    "for i in letters:\n",
+    "    if i in tup3:\n",
+    "        print( i, 'is true')\n",
+    "    else:\n",
+    "        print(i, 'es false')\n",
+    "    \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### How many times does each letter in `letters` appear in `tup3`?\n",
+    "\n",
+    "Print out the number of occurrence of each letter."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "la letra i se repite 1 veces\n",
+      "la letra i se repite 1 veces\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "letters = [\"a\", \"b\", \"c\", \"d\", \"e\"]\n",
+    "contador=0\n",
+    "\n",
+    "for i in letters:\n",
+    "    num=tup3.count(i)\n",
+    "    if num>0:\n",
+    "        print('la letra i se repite', num, 'veces')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb
new file mode 100644
index 0000000..9e86265
--- /dev/null
+++ b/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb
@@ -0,0 +1,513 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Challenge 2: Sets\n",
+    "\n",
+    "There are a lot to learn about Python Sets and the information presented in the lesson is limited due to its length. To learn Python Sets in depth you are strongly encouraged to review the W3Schools tutorial on [Python Sets Examples and Methods](https://www.w3schools.com/python/python_sets.asp) before you work on this lab. Some difficult questions in this lab have their solutions in the W3Schools tutorial.\n",
+    "\n",
+    "#### First, import the Python `random` libary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### In the cell below, create a list named `sample_list_1` with 80 random values. \n",
+    "\n",
+    "Requirements:\n",
+    "\n",
+    "* Each value is an integer falling between 0 and 100.\n",
+    "* Each value in the list is unique.\n",
+    "\n",
+    "Print `sample_list_1` to review its values\n",
+    "\n",
+    "*Hint: use `random.sample` ([reference](https://docs.python.org/3/library/random.html#random.sample)).*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
+      "[30, 81, 47, 90, 77, 48, 26, 33, 70, 80, 83, 61, 57, 71, 12, 19, 78, 56, 68, 1, 65, 95, 41, 72, 8, 5, 15, 94, 98, 60, 73, 82, 45, 23, 20, 66, 29, 25, 13, 4, 52, 10, 91, 16, 59, 88, 37, 36, 11, 62, 79, 39, 74, 34, 7, 100, 46, 49, 85, 75, 38, 31, 54, 97, 2, 67, 89, 22, 87, 50, 69, 76, 40, 21, 9, 42, 18, 0, 44, 53]\n"
+     ]
+    }
+   ],
+   "source": [
+    "ls=list(range(0,101))\n",
+    "print(ls)\n",
+    "\n",
+    "sample_list_1=random.sample(ls, 80)\n",
+    "print(sample_list_1)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Convert `sample_list_1` to a set called `set1`. Print the length of the set. Is its length still 80?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 18, 19, 20, 21, 22, 23, 25, 26, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 87, 88, 89, 90, 91, 94, 95, 97, 98, 100}\n"
+     ]
+    }
+   ],
+   "source": [
+    "set1=set(sample_list_1)\n",
+    "print(set1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create another list named `sample_list_2` with 80 random values.\n",
+    "\n",
+    "Requirements:\n",
+    "\n",
+    "* Each value is an integer falling between 0 and 100.\n",
+    "* The values in the list don't have to be unique.\n",
+    "\n",
+    "*Hint: Use a FOR loop.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[59, 84, 35, 85, 90, 36, 58, 86, 34, 43, 50, 51, 21, 1, 7, 81, 49, 95, 81, 82, 17, 72, 49, 64, 69, 66, 4, 64, 18, 39, 35, 52, 79, 16, 9, 38, 60, 67, 39, 91, 47, 77, 86, 25, 35, 53, 88, 79, 28, 48, 64, 16, 58, 30, 7, 18, 45, 59, 52, 47, 69, 17, 25, 12, 79, 89, 12, 94, 30, 41, 17, 21, 20, 85, 74, 92, 56, 67, 36, 18]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "list"
+      ]
+     },
+     "execution_count": 148,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample_list_2=[]\n",
+    "for i in range(80):\n",
+    "    a=random.randrange(1,101)\n",
+    "    sample_list_2.append(a)\n",
+    "print(sample_list_2)\n",
+    "type(sample_list_2)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Convert `sample_list_2` to a set called `set2`. Print the length of the set. Is its length still 80?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "52"
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set2=set(sample_list_2)\n",
+    "len(set2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Identify the elements present in `set1` but not in `set2`. Assign the elements to a new set named `set3`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 2, 5, 8, 10, 11, 13, 15, 19, 22, 23, 26, 29, 31, 33, 37, 40, 42, 44, 46, 54, 57, 61, 62, 65, 68, 70, 71, 73, 75, 76, 78, 80, 83, 87, 97, 98, 100}\n"
+     ]
+    }
+   ],
+   "source": [
+    "set3=set1.difference(set2)\n",
+    "print(set3)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Identify the elements present in `set2` but not in `set1`. Assign the elements to a new set named `set4`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{64, 35, 43, 92, 17, 51, 84, 86, 58, 28}\n"
+     ]
+    }
+   ],
+   "source": [
+    "set4=set2.difference(set1)\n",
+    "print(set4)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Now Identify the elements shared between `set1` and `set2`. Assign the elements to a new set named `set5`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{1, 4, 7, 9, 12, 16, 18, 20, 21, 25, 30, 34, 36, 38, 39, 41, 45, 47, 48, 49, 50, 52, 53, 56, 59, 60, 66, 67, 69, 72, 74, 77, 79, 81, 82, 85, 88, 89, 90, 91, 94, 95}\n"
+     ]
+    }
+   ],
+   "source": [
+    "set5=set1.intersection(set2)\n",
+    "print(set5)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### What is the relationship among the following values:\n",
+    "\n",
+    "* len(set1)\n",
+    "* len(set2)\n",
+    "* len(set3)\n",
+    "* len(set4)\n",
+    "* len(set5)\n",
+    "\n",
+    "Use a math formular to represent that relationship. Test your formular with Python code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "80\n",
+      "52\n",
+      "38\n",
+      "10\n",
+      "42\n",
+      "90\n",
+      "90\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(set1))\n",
+    "print(len(set2))\n",
+    "print(len(set3))\n",
+    "print(len(set4))\n",
+    "print(len(set5))\n",
+    "\n",
+    "x=set1.union(set2)\n",
+    "print(len(x))\n",
+    "\n",
+    "y=len(set3)+len(set4)+len(set5)\n",
+    "print(y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create an empty set called `set6`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "set"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set6= set()\n",
+    "type(set6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Add `set3` and `set5` to `set6` using the Python Set `update` method."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 18, 19, 20, 21, 22, 23, 25, 26, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 87, 88, 89, 90, 91, 94, 95, 97, 98, 100}\n"
+     ]
+    }
+   ],
+   "source": [
+    "set6.update(set3)\n",
+    "set6.update(set5)\n",
+    "print(set6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Check if `set1` and `set6` are equal."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(set1==set6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Check if `set1` contains `set2` using the Python Set `issubset` method. Then check if `set1` contains `set3`.*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(set1.issubset(set2))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Using the Python Set `union` method, aggregate `set3`, `set4`, and `set5`. Then aggregate `set1` and `set2`. \n",
+    "\n",
+    "#### Check if the aggregated values are equal."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 95, 97, 98, 100}\n",
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 95, 97, 98, 100}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "90"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "w=set3.union(set4, set5)\n",
+    "print(w)\n",
+    "w1=w.union(set1, set2)\n",
+    "print(w1)\n",
+    "len(w1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Using the `pop` method, remove the first element from `set1`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set1.pop()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Remove every element in the following list from `set1` if they are present in the set. Print the remaining elements.\n",
+    "\n",
+    "```\n",
+    "list_to_remove = [1, 9, 11, 19, 21, 29, 31, 39, 41, 49, 51, 59, 61, 69, 71, 79, 81, 89, 91, 99]\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{2, 4, 5, 7, 8, 10, 12, 13, 15, 16, 18, 20, 21, 22, 23, 25, 26, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 87, 88, 89, 90, 91, 94, 95, 97, 98, 100}\n"
+     ]
+    }
+   ],
+   "source": [
+    "list_to_remove = [1, 9, 11, 19, 21, 29, 31, 39, 41, 49, 51, 59, 61, 69, 71, 79, 81, 89, 91, 99]\n",
+    "list_to_remove=set(list_to_remove)    \n",
+    "\n",
+    "last=set1.symmetric_difference(list_to_remove)\n",
+    "\n",
+    "print(last)\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb
new file mode 100644
index 0000000..2cf16c7
--- /dev/null
+++ b/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb
@@ -0,0 +1,643 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Challenge 3: Dictionaries\n",
+    "\n",
+    "In this challenge you will practice how to manipulate Python dictionaries. Before starting on this challenge, you are encouraged to review W3School's [Python Dictionary Examples and Methods](https://www.w3schools.com/python/python_dictionaries.asp).\n",
+    "\n",
+    "First thing you will practice is how to sort the keys in a dictionary. Unlike the list object, Python dictionary does not have a built-in *sort* method. You'll need to use FOR loops to to sort dictionaries either by key or by value.\n",
+    "\n",
+    "The dictionary below is a summary of the word frequency of Ed Sheeran's song *Shape of You*. Each key is a word in the lyrics and the value is the number of times that word appears in the lyrics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "word_freq = {'love': 25, 'conversation': 1, 'every': 6, \"we're\": 1, 'plate': 1, 'sour': 1, 'jukebox': 1, 'now': 11, 'taxi': 1, 'fast': 1, 'bag': 1, 'man': 1, 'push': 3, 'baby': 14, 'going': 1, 'you': 16, \"don't\": 2, 'one': 1, 'mind': 2, 'backseat': 1, 'friends': 1, 'then': 3, 'know': 2, 'take': 1, 'play': 1, 'okay': 1, 'so': 2, 'begin': 1, 'start': 2, 'over': 1, 'body': 17, 'boy': 2, 'just': 1, 'we': 7, 'are': 1, 'girl': 2, 'tell': 1, 'singing': 2, 'drinking': 1, 'put': 3, 'our': 1, 'where': 1, \"i'll\": 1, 'all': 1, \"isn't\": 1, 'make': 1, 'lover': 1, 'get': 1, 'radio': 1, 'give': 1, \"i'm\": 23, 'like': 10, 'can': 1, 'doing': 2, 'with': 22, 'club': 1, 'come': 37, 'it': 1, 'somebody': 2, 'handmade': 2, 'out': 1, 'new': 6, 'room': 3, 'chance': 1, 'follow': 6, 'in': 27, 'may': 2, 'brand': 6, 'that': 2, 'magnet': 3, 'up': 3, 'first': 1, 'and': 23, 'pull': 3, 'of': 6, 'table': 1, 'much': 2, 'last': 3, 'i': 6, 'thrifty': 1, 'grab': 2, 'was': 2, 'driver': 1, 'slow': 1, 'dance': 1, 'the': 18, 'say': 2, 'trust': 1, 'family': 1, 'week': 1, 'date': 1, 'me': 10, 'do': 3, 'waist': 2, 'smell': 3, 'day': 6, 'although': 3, 'your': 21, 'leave': 1, 'want': 2, \"let's\": 2, 'lead': 6, 'at': 1, 'hand': 1, 'how': 1, 'talk': 4, 'not': 2, 'eat': 1, 'falling': 3, 'about': 1, 'story': 1, 'sweet': 1, 'best': 1, 'crazy': 2, 'let': 1, 'too': 5, 'van': 1, 'shots': 1, 'go': 2, 'to': 2, 'a': 8, 'my': 33, 'is': 5, 'place': 1, 'find': 1, 'shape': 6, 'on': 40, 'kiss': 1, 'were': 3, 'night': 3, 'heart': 3, 'for': 3, 'discovering': 6, 'something': 6, 'be': 16, 'bedsheets': 3, 'fill': 2, 'hours': 2, 'stop': 1, 'bar': 1}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Sort the keys of `word_freq` ascendingly.\n",
+    "\n",
+    "Please create a new dictionary called `word_freq2` based on `word_freq` with the keys sorted ascedingly.\n",
+    "\n",
+    "There are several ways to achieve that goal but many of the ways are beyond what we have covered so far in the course. There is one way that we'll describe employing what you have learned. Please feel free to use this way or any other way you want.\n",
+    "\n",
+    "1. First extract the keys of `word_freq` and convert it to a list called `keys`.\n",
+    "\n",
+    "1. Sort the `keys` list.\n",
+    "\n",
+    "1. Create an empty dictionary `word_freq2`.\n",
+    "\n",
+    "1. Use a FOR loop to iterate each value in `keys`. For each key iterated, find the corresponding value in `word_freq` and insert the key-value pair to `word_freq2`.\n",
+    "\n",
+    "Print out `word_freq2` to examine its keys and values. Your output should be:\n",
+    "\n",
+    "```python\n",
+    "{'a': 8, 'about': 1, 'all': 1, 'although': 3, 'and': 23, 'are': 1, 'at': 1, 'baby': 14, 'backseat': 1, 'bag': 1, 'bar': 1, 'be': 16, 'bedsheets': 3, 'begin': 1, 'best': 1, 'body': 17, 'boy': 2, 'brand': 6, 'can': 1, 'chance': 1, 'club': 1, 'come': 37, 'conversation': 1, 'crazy': 2, 'dance': 1, 'date': 1, 'day': 6, 'discovering': 6, 'do': 3, 'doing': 2, \"don't\": 2, 'drinking': 1, 'driver': 1, 'eat': 1, 'every': 6, 'falling': 3, 'family': 1, 'fast': 1, 'fill': 2, 'find': 1, 'first': 1, 'follow': 6, 'for': 3, 'friends': 1, 'get': 1, 'girl': 2, 'give': 1, 'go': 2, 'going': 1, 'grab': 2, 'hand': 1, 'handmade': 2, 'heart': 3, 'hours': 2, 'how': 1, 'i': 6, \"i'll\": 1, \"i'm\": 23, 'in': 27, 'is': 5, \"isn't\": 1, 'it': 1, 'jukebox': 1, 'just': 1, 'kiss': 1, 'know': 2, 'last': 3, 'lead': 6, 'leave': 1, 'let': 1, \"let's\": 2, 'like': 10, 'love': 25, 'lover': 1, 'magnet': 3, 'make': 1, 'man': 1, 'may': 2, 'me': 10, 'mind': 2, 'much': 2, 'my': 33, 'new': 6, 'night': 3, 'not': 2, 'now': 11, 'of': 6, 'okay': 1, 'on': 40, 'one': 1, 'our': 1, 'out': 1, 'over': 1, 'place': 1, 'plate': 1, 'play': 1, 'pull': 3, 'push': 3, 'put': 3, 'radio': 1, 'room': 3, 'say': 2, 'shape': 6, 'shots': 1, 'singing': 2, 'slow': 1, 'smell': 3, 'so': 2, 'somebody': 2, 'something': 6, 'sour': 1, 'start': 2, 'stop': 1, 'story': 1, 'sweet': 1, 'table': 1, 'take': 1, 'talk': 4, 'taxi': 1, 'tell': 1, 'that': 2, 'the': 18, 'then': 3, 'thrifty': 1, 'to': 2, 'too': 5, 'trust': 1, 'up': 3, 'van': 1, 'waist': 2, 'want': 2, 'was': 2, 'we': 7, \"we're\": 1, 'week': 1, 'were': 3, 'where': 1, 'with': 22, 'you': 16, 'your': 21}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['a', 'about', 'all', 'although', 'and', 'are', 'at', 'baby', 'backseat', 'bag', 'bar', 'be', 'bedsheets', 'begin', 'best', 'body', 'boy', 'brand', 'can', 'chance', 'club', 'come', 'conversation', 'crazy', 'dance', 'date', 'day', 'discovering', 'do', 'doing', \"don't\", 'drinking', 'driver', 'eat', 'every', 'falling', 'family', 'fast', 'fill', 'find', 'first', 'follow', 'for', 'friends', 'get', 'girl', 'give', 'go', 'going', 'grab', 'hand', 'handmade', 'heart', 'hours', 'how', 'i', \"i'll\", \"i'm\", 'in', 'is', \"isn't\", 'it', 'jukebox', 'just', 'kiss', 'know', 'last', 'lead', 'leave', 'let', \"let's\", 'like', 'love', 'lover', 'magnet', 'make', 'man', 'may', 'me', 'mind', 'much', 'my', 'new', 'night', 'not', 'now', 'of', 'okay', 'on', 'one', 'our', 'out', 'over', 'place', 'plate', 'play', 'pull', 'push', 'put', 'radio', 'room', 'say', 'shape', 'shots', 'singing', 'slow', 'smell', 'so', 'somebody', 'something', 'sour', 'start', 'stop', 'story', 'sweet', 'table', 'take', 'talk', 'taxi', 'tell', 'that', 'the', 'then', 'thrifty', 'to', 'too', 'trust', 'up', 'van', 'waist', 'want', 'was', 'we', \"we're\", 'week', 'were', 'where', 'with', 'you', 'your']\n",
+      "{'a': 8, 'about': 1, 'all': 1, 'although': 3, 'and': 23, 'are': 1, 'at': 1, 'baby': 14, 'backseat': 1, 'bag': 1, 'bar': 1, 'be': 16, 'bedsheets': 3, 'begin': 1, 'best': 1, 'body': 17, 'boy': 2, 'brand': 6, 'can': 1, 'chance': 1, 'club': 1, 'come': 37, 'conversation': 1, 'crazy': 2, 'dance': 1, 'date': 1, 'day': 6, 'discovering': 6, 'do': 3, 'doing': 2, \"don't\": 2, 'drinking': 1, 'driver': 1, 'eat': 1, 'every': 6, 'falling': 3, 'family': 1, 'fast': 1, 'fill': 2, 'find': 1, 'first': 1, 'follow': 6, 'for': 3, 'friends': 1, 'get': 1, 'girl': 2, 'give': 1, 'go': 2, 'going': 1, 'grab': 2, 'hand': 1, 'handmade': 2, 'heart': 3, 'hours': 2, 'how': 1, 'i': 6, \"i'll\": 1, \"i'm\": 23, 'in': 27, 'is': 5, \"isn't\": 1, 'it': 1, 'jukebox': 1, 'just': 1, 'kiss': 1, 'know': 2, 'last': 3, 'lead': 6, 'leave': 1, 'let': 1, \"let's\": 2, 'like': 10, 'love': 25, 'lover': 1, 'magnet': 3, 'make': 1, 'man': 1, 'may': 2, 'me': 10, 'mind': 2, 'much': 2, 'my': 33, 'new': 6, 'night': 3, 'not': 2, 'now': 11, 'of': 6, 'okay': 1, 'on': 40, 'one': 1, 'our': 1, 'out': 1, 'over': 1, 'place': 1, 'plate': 1, 'play': 1, 'pull': 3, 'push': 3, 'put': 3, 'radio': 1, 'room': 3, 'say': 2, 'shape': 6, 'shots': 1, 'singing': 2, 'slow': 1, 'smell': 3, 'so': 2, 'somebody': 2, 'something': 6, 'sour': 1, 'start': 2, 'stop': 1, 'story': 1, 'sweet': 1, 'table': 1, 'take': 1, 'talk': 4, 'taxi': 1, 'tell': 1, 'that': 2, 'the': 18, 'then': 3, 'thrifty': 1, 'to': 2, 'too': 5, 'trust': 1, 'up': 3, 'van': 1, 'waist': 2, 'want': 2, 'was': 2, 'we': 7, \"we're\": 1, 'week': 1, 'were': 3, 'where': 1, 'with': 22, 'you': 16, 'your': 21}\n"
+     ]
+    }
+   ],
+   "source": [
+    "keys=list(word_freq.keys())\n",
+    "keys.sort()\n",
+    "print(keys)\n",
+    "word_freq2={}\n",
+    "\n",
+    "for key in keys:\n",
+    "    value=word_freq[key]\n",
+    "    word_freq2[key]=value\n",
+    "print(word_freq2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Sort the values of `word_freq` ascendingly.\n",
+    "\n",
+    "Sorting the values of a dictionary is more tricky than sorting the keys because a dictionary's values are not unique. Therefore you cannot use the same way you sorted dict keys to sort dict values.\n",
+    "\n",
+    "The way to sort a dict by value is to utilize the `sorted` and `operator.itemgetter` functions. The following code snippet is provided to you to try. It will give you a list of tuples in which each tuple contains the key and value of a dict item. And the list is sorted based on the dict value ([reference](http://thomas-cokelaer.info/blog/2017/12/how-to-sort-a-dictionary-by-values-in-python/)\n",
+    ").\n",
+    "\n",
+    "```python\n",
+    "import operator\n",
+    "sorted_tups = sorted(word_freq.items(), key=operator.itemgetter(1))\n",
+    "print(sorted_tups)\n",
+    "```\n",
+    "\n",
+    "Therefore, the steps to sort `word_freq` by value are:\n",
+    "\n",
+    "* Using `sorted` and `operator.itemgetter`, obtain a list of tuples of the dict key-value pairs which is sorted on the value.\n",
+    "\n",
+    "* Create an empty dictionary named `word_freq2`.\n",
+    "\n",
+    "* Iterate the list of tuples. Insert each key-value pair into `word_freq2` as an object.\n",
+    "\n",
+    "Print `word_freq2` to confirm your dictionary has its values sorted. Your output should be:\n",
+    "\n",
+    "```python\n",
+    "{'conversation': 1, \"we're\": 1, 'plate': 1, 'sour': 1, 'jukebox': 1, 'taxi': 1, 'fast': 1, 'bag': 1, 'man': 1, 'going': 1, 'one': 1, 'backseat': 1, 'friends': 1, 'take': 1, 'play': 1, 'okay': 1, 'begin': 1, 'over': 1, 'just': 1, 'are': 1, 'tell': 1, 'drinking': 1, 'our': 1, 'where': 1, \"i'll\": 1, 'all': 1, \"isn't\": 1, 'make': 1, 'lover': 1, 'get': 1, 'radio': 1, 'give': 1, 'can': 1, 'club': 1, 'it': 1, 'out': 1, 'chance': 1, 'first': 1, 'table': 1, 'thrifty': 1, 'driver': 1, 'slow': 1, 'dance': 1, 'trust': 1, 'family': 1, 'week': 1, 'date': 1, 'leave': 1, 'at': 1, 'hand': 1, 'how': 1, 'eat': 1, 'about': 1, 'story': 1, 'sweet': 1, 'best': 1, 'let': 1, 'van': 1, 'shots': 1, 'place': 1, 'find': 1, 'kiss': 1, 'stop': 1, 'bar': 1, \"don't\": 2, 'mind': 2, 'know': 2, 'so': 2, 'start': 2, 'boy': 2, 'girl': 2, 'singing': 2, 'doing': 2, 'somebody': 2, 'handmade': 2, 'may': 2, 'that': 2, 'much': 2, 'grab': 2, 'was': 2, 'say': 2, 'waist': 2, 'want': 2, \"let's\": 2, 'not': 2, 'crazy': 2, 'go': 2, 'to': 2, 'fill': 2, 'hours': 2, 'push': 3, 'then': 3, 'put': 3, 'room': 3, 'magnet': 3, 'up': 3, 'pull': 3, 'last': 3, 'do': 3, 'smell': 3, 'although': 3, 'falling': 3, 'were': 3, 'night': 3, 'heart': 3, 'for': 3, 'bedsheets': 3, 'talk': 4, 'too': 5, 'is': 5, 'every': 6, 'new': 6, 'follow': 6, 'brand': 6, 'of': 6, 'i': 6, 'day': 6, 'lead': 6, 'shape': 6, 'discovering': 6, 'something': 6, 'we': 7, 'a': 8, 'like': 10, 'me': 10, 'now': 11, 'baby': 14, 'you': 16, 'be': 16, 'body': 17, 'the': 18, 'your': 21, 'with': 22, \"i'm\": 23, 'and': 23, 'love': 25, 'in': 27, 'my': 33, 'come': 37, 'on': 40}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('conversation', 1), (\"we're\", 1), ('plate', 1), ('sour', 1), ('jukebox', 1), ('taxi', 1), ('fast', 1), ('bag', 1), ('man', 1), ('going', 1), ('one', 1), ('backseat', 1), ('friends', 1), ('take', 1), ('play', 1), ('okay', 1), ('begin', 1), ('over', 1), ('just', 1), ('are', 1), ('tell', 1), ('drinking', 1), ('our', 1), ('where', 1), (\"i'll\", 1), ('all', 1), (\"isn't\", 1), ('make', 1), ('lover', 1), ('get', 1), ('radio', 1), ('give', 1), ('can', 1), ('club', 1), ('it', 1), ('out', 1), ('chance', 1), ('first', 1), ('table', 1), ('thrifty', 1), ('driver', 1), ('slow', 1), ('dance', 1), ('trust', 1), ('family', 1), ('week', 1), ('date', 1), ('leave', 1), ('at', 1), ('hand', 1), ('how', 1), ('eat', 1), ('about', 1), ('story', 1), ('sweet', 1), ('best', 1), ('let', 1), ('van', 1), ('shots', 1), ('place', 1), ('find', 1), ('kiss', 1), ('stop', 1), ('bar', 1), (\"don't\", 2), ('mind', 2), ('know', 2), ('so', 2), ('start', 2), ('boy', 2), ('girl', 2), ('singing', 2), ('doing', 2), ('somebody', 2), ('handmade', 2), ('may', 2), ('that', 2), ('much', 2), ('grab', 2), ('was', 2), ('say', 2), ('waist', 2), ('want', 2), (\"let's\", 2), ('not', 2), ('crazy', 2), ('go', 2), ('to', 2), ('fill', 2), ('hours', 2), ('push', 3), ('then', 3), ('put', 3), ('room', 3), ('magnet', 3), ('up', 3), ('pull', 3), ('last', 3), ('do', 3), ('smell', 3), ('although', 3), ('falling', 3), ('were', 3), ('night', 3), ('heart', 3), ('for', 3), ('bedsheets', 3), ('talk', 4), ('too', 5), ('is', 5), ('every', 6), ('new', 6), ('follow', 6), ('brand', 6), ('of', 6), ('i', 6), ('day', 6), ('lead', 6), ('shape', 6), ('discovering', 6), ('something', 6), ('we', 7), ('a', 8), ('like', 10), ('me', 10), ('now', 11), ('baby', 14), ('you', 16), ('be', 16), ('body', 17), ('the', 18), ('your', 21), ('with', 22), (\"i'm\", 23), ('and', 23), ('love', 25), ('in', 27), ('my', 33), ('come', 37), ('on', 40)]\n",
+      "('conversation', 1)\n",
+      "(\"we're\", 1)\n",
+      "('plate', 1)\n",
+      "('sour', 1)\n",
+      "('jukebox', 1)\n",
+      "('taxi', 1)\n",
+      "('fast', 1)\n",
+      "('bag', 1)\n",
+      "('man', 1)\n",
+      "('going', 1)\n",
+      "('one', 1)\n",
+      "('backseat', 1)\n",
+      "('friends', 1)\n",
+      "('take', 1)\n",
+      "('play', 1)\n",
+      "('okay', 1)\n",
+      "('begin', 1)\n",
+      "('over', 1)\n",
+      "('just', 1)\n",
+      "('are', 1)\n",
+      "('tell', 1)\n",
+      "('drinking', 1)\n",
+      "('our', 1)\n",
+      "('where', 1)\n",
+      "(\"i'll\", 1)\n",
+      "('all', 1)\n",
+      "(\"isn't\", 1)\n",
+      "('make', 1)\n",
+      "('lover', 1)\n",
+      "('get', 1)\n",
+      "('radio', 1)\n",
+      "('give', 1)\n",
+      "('can', 1)\n",
+      "('club', 1)\n",
+      "('it', 1)\n",
+      "('out', 1)\n",
+      "('chance', 1)\n",
+      "('first', 1)\n",
+      "('table', 1)\n",
+      "('thrifty', 1)\n",
+      "('driver', 1)\n",
+      "('slow', 1)\n",
+      "('dance', 1)\n",
+      "('trust', 1)\n",
+      "('family', 1)\n",
+      "('week', 1)\n",
+      "('date', 1)\n",
+      "('leave', 1)\n",
+      "('at', 1)\n",
+      "('hand', 1)\n",
+      "('how', 1)\n",
+      "('eat', 1)\n",
+      "('about', 1)\n",
+      "('story', 1)\n",
+      "('sweet', 1)\n",
+      "('best', 1)\n",
+      "('let', 1)\n",
+      "('van', 1)\n",
+      "('shots', 1)\n",
+      "('place', 1)\n",
+      "('find', 1)\n",
+      "('kiss', 1)\n",
+      "('stop', 1)\n",
+      "('bar', 1)\n",
+      "(\"don't\", 2)\n",
+      "('mind', 2)\n",
+      "('know', 2)\n",
+      "('so', 2)\n",
+      "('start', 2)\n",
+      "('boy', 2)\n",
+      "('girl', 2)\n",
+      "('singing', 2)\n",
+      "('doing', 2)\n",
+      "('somebody', 2)\n",
+      "('handmade', 2)\n",
+      "('may', 2)\n",
+      "('that', 2)\n",
+      "('much', 2)\n",
+      "('grab', 2)\n",
+      "('was', 2)\n",
+      "('say', 2)\n",
+      "('waist', 2)\n",
+      "('want', 2)\n",
+      "(\"let's\", 2)\n",
+      "('not', 2)\n",
+      "('crazy', 2)\n",
+      "('go', 2)\n",
+      "('to', 2)\n",
+      "('fill', 2)\n",
+      "('hours', 2)\n",
+      "('push', 3)\n",
+      "('then', 3)\n",
+      "('put', 3)\n",
+      "('room', 3)\n",
+      "('magnet', 3)\n",
+      "('up', 3)\n",
+      "('pull', 3)\n",
+      "('last', 3)\n",
+      "('do', 3)\n",
+      "('smell', 3)\n",
+      "('although', 3)\n",
+      "('falling', 3)\n",
+      "('were', 3)\n",
+      "('night', 3)\n",
+      "('heart', 3)\n",
+      "('for', 3)\n",
+      "('bedsheets', 3)\n",
+      "('talk', 4)\n",
+      "('too', 5)\n",
+      "('is', 5)\n",
+      "('every', 6)\n",
+      "('new', 6)\n",
+      "('follow', 6)\n",
+      "('brand', 6)\n",
+      "('of', 6)\n",
+      "('i', 6)\n",
+      "('day', 6)\n",
+      "('lead', 6)\n",
+      "('shape', 6)\n",
+      "('discovering', 6)\n",
+      "('something', 6)\n",
+      "('we', 7)\n",
+      "('a', 8)\n",
+      "('like', 10)\n",
+      "('me', 10)\n",
+      "('now', 11)\n",
+      "('baby', 14)\n",
+      "('you', 16)\n",
+      "('be', 16)\n",
+      "('body', 17)\n",
+      "('the', 18)\n",
+      "('your', 21)\n",
+      "('with', 22)\n",
+      "(\"i'm\", 23)\n",
+      "('and', 23)\n",
+      "('love', 25)\n",
+      "('in', 27)\n",
+      "('my', 33)\n",
+      "('come', 37)\n",
+      "('on', 40)\n",
+      "{'conversation': 1, \"we're\": 1, 'plate': 1, 'sour': 1, 'jukebox': 1, 'taxi': 1, 'fast': 1, 'bag': 1, 'man': 1, 'going': 1, 'one': 1, 'backseat': 1, 'friends': 1, 'take': 1, 'play': 1, 'okay': 1, 'begin': 1, 'over': 1, 'just': 1, 'are': 1, 'tell': 1, 'drinking': 1, 'our': 1, 'where': 1, \"i'll\": 1, 'all': 1, \"isn't\": 1, 'make': 1, 'lover': 1, 'get': 1, 'radio': 1, 'give': 1, 'can': 1, 'club': 1, 'it': 1, 'out': 1, 'chance': 1, 'first': 1, 'table': 1, 'thrifty': 1, 'driver': 1, 'slow': 1, 'dance': 1, 'trust': 1, 'family': 1, 'week': 1, 'date': 1, 'leave': 1, 'at': 1, 'hand': 1, 'how': 1, 'eat': 1, 'about': 1, 'story': 1, 'sweet': 1, 'best': 1, 'let': 1, 'van': 1, 'shots': 1, 'place': 1, 'find': 1, 'kiss': 1, 'stop': 1, 'bar': 1, \"don't\": 2, 'mind': 2, 'know': 2, 'so': 2, 'start': 2, 'boy': 2, 'girl': 2, 'singing': 2, 'doing': 2, 'somebody': 2, 'handmade': 2, 'may': 2, 'that': 2, 'much': 2, 'grab': 2, 'was': 2, 'say': 2, 'waist': 2, 'want': 2, \"let's\": 2, 'not': 2, 'crazy': 2, 'go': 2, 'to': 2, 'fill': 2, 'hours': 2, 'push': 3, 'then': 3, 'put': 3, 'room': 3, 'magnet': 3, 'up': 3, 'pull': 3, 'last': 3, 'do': 3, 'smell': 3, 'although': 3, 'falling': 3, 'were': 3, 'night': 3, 'heart': 3, 'for': 3, 'bedsheets': 3, 'talk': 4, 'too': 5, 'is': 5, 'every': 6, 'new': 6, 'follow': 6, 'brand': 6, 'of': 6, 'i': 6, 'day': 6, 'lead': 6, 'shape': 6, 'discovering': 6, 'something': 6, 'we': 7, 'a': 8, 'like': 10, 'me': 10, 'now': 11, 'baby': 14, 'you': 16, 'be': 16, 'body': 17, 'the': 18, 'your': 21, 'with': 22, \"i'm\": 23, 'and': 23, 'love': 25, 'in': 27, 'my': 33, 'come': 37, 'on': 40}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import operator\n",
+    "sorted_tups = sorted(word_freq.items(), key=operator.itemgetter(1))\n",
+    "print(sorted_tups)\n",
+    "word_freq2={}\n",
+    "for tup in sorted_tups:\n",
+    "    print(tup)\n",
+    "    word_freq2[tup[0]] = tup[1]\n",
+    "print(word_freq2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Convert `word_freq` into Pandas dataframes\n",
+    "\n",
+    "In your future work, you may need to convert Python dictionaries to Pandas dataframes. So let's practice this by converting `word_freq`.\n",
+    "\n",
+    "**First, import the `pandas` library.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Then, use the `pd.DataFrame()` constructor to convert `word_freq` into a dataframe.**\n",
+    "\n",
+    "Here's a [reference](https://stackoverflow.com/questions/18837262/convert-python-dict-into-a-dataframe) to show you how to accomplish this. Also name the two columns of the dataframe as `word` and `freq`.\n",
+    "\n",
+    "Assign the converted value to a variable called `df`. The first few rows of `df` should look like this:\n",
+    "\n",
+    "![df](df.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "             word  freq\n",
+      "0            love    25\n",
+      "1    conversation     1\n",
+      "2           every     6\n",
+      "3           we're     1\n",
+      "4           plate     1\n",
+      "..            ...   ...\n",
+      "135     bedsheets     3\n",
+      "136          fill     2\n",
+      "137         hours     2\n",
+      "138          stop     1\n",
+      "139           bar     1\n",
+      "\n",
+      "[140 rows x 2 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame(list(word_freq.items()), columns=['word', 'freq'])\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "             word freq\n",
+      "0            love   25\n",
+      "1    conversation    1\n",
+      "2           every    6\n",
+      "3           we're    1\n",
+      "4           plate    1\n",
+      "..            ...  ...\n",
+      "135     bedsheets    3\n",
+      "136          fill    2\n",
+      "137         hours    2\n",
+      "138          stop    1\n",
+      "139           bar    1\n",
+      "\n",
+      "[140 rows x 2 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "df= pd.DataFrame([word_freq.keys(), word_freq.values()]).T\n",
+    "df.columns= ['word', 'freq']\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the Pandas DataFrame, you can sort the values easily with the built-in method `sort_values` ([reference](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sort_values.html)).\n",
+    "\n",
+    "#### Sort `df` ascendingly based on column `word`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "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>word</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>a</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>about</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>all</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>although</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>and</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>128</th>\n",
+       "      <td>were</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>where</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>with</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>you</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>your</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>140 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         word  freq\n",
+       "120         a     8\n",
+       "109     about     1\n",
+       "43        all     1\n",
+       "96   although     3\n",
+       "72        and    23\n",
+       "..        ...   ...\n",
+       "128      were     3\n",
+       "41      where     1\n",
+       "54       with    22\n",
+       "15        you    16\n",
+       "97       your    21\n",
+       "\n",
+       "[140 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "df.sort_values(by='word')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Sort `df` ascendingly based on column `freq`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "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>word</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>139</th>\n",
+       "      <td>bar</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>let</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>van</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>out</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>it</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>love</td>\n",
+       "      <td>25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>in</td>\n",
+       "      <td>27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>121</th>\n",
+       "      <td>my</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>come</td>\n",
+       "      <td>37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>126</th>\n",
+       "      <td>on</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>140 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     word freq\n",
+       "139   bar    1\n",
+       "114   let    1\n",
+       "116   van    1\n",
+       "60    out    1\n",
+       "57     it    1\n",
+       "..    ...  ...\n",
+       "0    love   25\n",
+       "65     in   27\n",
+       "121    my   33\n",
+       "56   come   37\n",
+       "126    on   40\n",
+       "\n",
+       "[140 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "df.sort_values(by='freq')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/your-code/Untitled.ipynb b/your-code/Untitled.ipynb
new file mode 100644
index 0000000..d3043dc
--- /dev/null
+++ b/your-code/Untitled.ipynb
@@ -0,0 +1,70 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7dc4fbc8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "word_freq = {'love': 25, 'conversation': 1, 'every': 6, \"we're\": 1, 'plate': 1, 'sour': 1, 'jukebox': 1, 'now': 11, 'taxi': 1, 'fast': 1, 'bag': 1, 'man': 1, 'push': 3, 'baby': 14, 'going': 1, 'you': 16, \"don't\": 2, 'one': 1, 'mind': 2, 'backseat': 1, 'friends': 1, 'then': 3, 'know': 2, 'take': 1, 'play': 1, 'okay': 1, 'so': 2, 'begin': 1, 'start': 2, 'over': 1, 'body': 17, 'boy': 2, 'just': 1, 'we': 7, 'are': 1, 'girl': 2, 'tell': 1, 'singing': 2, 'drinking': 1, 'put': 3, 'our': 1, 'where': 1, \"i'll\": 1, 'all': 1, \"isn't\": 1, 'make': 1, 'lover': 1, 'get': 1, 'radio': 1, 'give': 1, \"i'm\": 23, 'like': 10, 'can': 1, 'doing': 2, 'with': 22, 'club': 1, 'come': 37, 'it': 1, 'somebody': 2, 'handmade': 2, 'out': 1, 'new': 6, 'room': 3, 'chance': 1, 'follow': 6, 'in': 27, 'may': 2, 'brand': 6, 'that': 2, 'magnet': 3, 'up': 3, 'first': 1, 'and': 23, 'pull': 3, 'of': 6, 'table': 1, 'much': 2, 'last': 3, 'i': 6, 'thrifty': 1, 'grab': 2, 'was': 2, 'driver': 1, 'slow': 1, 'dance': 1, 'the': 18, 'say': 2, 'trust': 1, 'family': 1, 'week': 1, 'date': 1, 'me': 10, 'do': 3, 'waist': 2, 'smell': 3, 'day': 6, 'although': 3, 'your': 21, 'leave': 1, 'want': 2, \"let's\": 2, 'lead': 6, 'at': 1, 'hand': 1, 'how': 1, 'talk': 4, 'not': 2, 'eat': 1, 'falling': 3, 'about': 1, 'story': 1, 'sweet': 1, 'best': 1, 'crazy': 2, 'let': 1, 'too': 5, 'van': 1, 'shots': 1, 'go': 2, 'to': 2, 'a': 8, 'my': 33, 'is': 5, 'place': 1, 'find': 1, 'shape': 6, 'on': 40, 'kiss': 1, 'were': 3, 'night': 3, 'heart': 3, 'for': 3, 'discovering': 6, 'something': 6, 'be': 16, 'bedsheets': 3, 'fill': 2, 'hours': 2, 'stop': 1, 'bar': 1}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "71885118",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('a', 8), ('about', 1), ('all', 1), ('although', 3), ('and', 23), ('are', 1), ('at', 1), ('baby', 14), ('backseat', 1), ('bag', 1), ('bar', 1), ('be', 16), ('bedsheets', 3), ('begin', 1), ('best', 1), ('body', 17), ('boy', 2), ('brand', 6), ('can', 1), ('chance', 1), ('club', 1), ('come', 37), ('conversation', 1), ('crazy', 2), ('dance', 1), ('date', 1), ('day', 6), ('discovering', 6), ('do', 3), ('doing', 2), (\"don't\", 2), ('drinking', 1), ('driver', 1), ('eat', 1), ('every', 6), ('falling', 3), ('family', 1), ('fast', 1), ('fill', 2), ('find', 1), ('first', 1), ('follow', 6), ('for', 3), ('friends', 1), ('get', 1), ('girl', 2), ('give', 1), ('go', 2), ('going', 1), ('grab', 2), ('hand', 1), ('handmade', 2), ('heart', 3), ('hours', 2), ('how', 1), ('i', 6), (\"i'll\", 1), (\"i'm\", 23), ('in', 27), ('is', 5), (\"isn't\", 1), ('it', 1), ('jukebox', 1), ('just', 1), ('kiss', 1), ('know', 2), ('last', 3), ('lead', 6), ('leave', 1), ('let', 1), (\"let's\", 2), ('like', 10), ('love', 25), ('lover', 1), ('magnet', 3), ('make', 1), ('man', 1), ('may', 2), ('me', 10), ('mind', 2), ('much', 2), ('my', 33), ('new', 6), ('night', 3), ('not', 2), ('now', 11), ('of', 6), ('okay', 1), ('on', 40), ('one', 1), ('our', 1), ('out', 1), ('over', 1), ('place', 1), ('plate', 1), ('play', 1), ('pull', 3), ('push', 3), ('put', 3), ('radio', 1), ('room', 3), ('say', 2), ('shape', 6), ('shots', 1), ('singing', 2), ('slow', 1), ('smell', 3), ('so', 2), ('somebody', 2), ('something', 6), ('sour', 1), ('start', 2), ('stop', 1), ('story', 1), ('sweet', 1), ('table', 1), ('take', 1), ('talk', 4), ('taxi', 1), ('tell', 1), ('that', 2), ('the', 18), ('then', 3), ('thrifty', 1), ('to', 2), ('too', 5), ('trust', 1), ('up', 3), ('van', 1), ('waist', 2), ('want', 2), ('was', 2), ('we', 7), (\"we're\", 1), ('week', 1), ('were', 3), ('where', 1), ('with', 22), ('you', 16), ('your', 21)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "word_freq_sort=sorted(list(word_freq.items()))\n",
+    "print(word_freq_sort)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8314f50d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "raw",
+   "id": "6e4ddcc6",
+   "metadata": {},
+   "source": [
+    "word_freq_sort=sorted(word_freq)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb
index 2e59d77..c6fbfc1 100644
--- a/your-code/challenge-1.ipynb
+++ b/your-code/challenge-1.ipynb
@@ -15,11 +15,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "tup= (\"I\",)\n"
    ]
   },
   {
@@ -33,11 +33,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tuple"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "type(tup)\n"
    ]
   },
   {
@@ -55,13 +66,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "AttributeError",
+     "evalue": "'tuple' object has no attribute 'append'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[1;32mC:\\Users\\JUANCA~1\\AppData\\Local\\Temp/ipykernel_31256/2921012397.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtup\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'r'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;31m#It is not possible to append those elements because a tuple is a inmutable object.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mAttributeError\u001b[0m: 'tuple' object has no attribute 'append'"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n",
-    "\n",
-    "# Your explanation here\n"
+    "tup.append('r')\n",
+    "#It is not possible to append those elements because a tuple is a inmutable object."
    ]
   },
   {
@@ -79,13 +101,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('I', 'r', 'o', 'n', 'h', 'a', 'c', 'k')"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n",
+    "lista= list(tup)\n",
+    "\n",
+    "lista.append('r')\n",
+    "lista.append('o')\n",
+    "lista.append('n')\n",
+    "lista.append('h')\n",
+    "lista.append('a')\n",
+    "lista.append('c')\n",
+    "lista.append('k')\n",
+    "\n",
+    "tup=tuple(lista)\n",
+    "tup\n",
+    "\n",
     "\n",
-    "# Your explanation here\n"
+    "\n",
+    "\n",
+    "#Se tiene que transformar la tupla en lista y, posteriormente, agregar uno por uno los elementos que pide el ejercicio mediante la función append. "
    ]
   },
   {
@@ -103,11 +150,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 68,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('I', 'r', 'o', 'n')\n",
+      "('h', 'a', 'c', 'k')\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "tup=list(tup)\n",
+    "tup\n",
+    "\n",
+    "tup1=tup[0:4]\n",
+    "tup2=tup[4:]\n",
+    "\n",
+    "tup1=tuple(tup1)\n",
+    "tup2=tuple(tup2)\n",
+    "\n",
+    "print(tup1)\n",
+    "print(tup2)\n",
+    "\n",
+    "\n"
    ]
   },
   {
@@ -121,11 +189,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 70,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('I', 'r', 'o', 'n', 'h', 'a', 'c', 'k')\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "tup3= tup1+tup2\n",
+    "print(tup3)\n"
    ]
   },
   {
@@ -137,11 +214,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 73,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tienen el mismo número de elementos\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "\n",
+    "a=len(tup1)\n",
+    "b=len(tup2)\n",
+    "c=len(tup3)\n",
+    "\n",
+    "if a+b==c:\n",
+    "    print(\"Tienen el mismo número de elementos\")"
    ]
   },
   {
@@ -153,11 +244,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 74,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "tup3.index('h')\n",
+    "#El ínide de h es el 4"
    ]
   },
   {
@@ -177,11 +280,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 77,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "a is true\n",
+      "b es false\n",
+      "c is true\n",
+      "d es false\n",
+      "e es false\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "letters = [\"a\", \"b\", \"c\", \"d\", \"e\"]\n",
+    "\n",
+    "for i in letters:\n",
+    "    if i in tup3:\n",
+    "        print( i, 'is true')\n",
+    "    else:\n",
+    "        print(i, 'es false')\n",
+    "    \n"
    ]
   },
   {
@@ -195,17 +317,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 88,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "la letra i se repite 1 veces\n",
+      "la letra i se repite 1 veces\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "\n",
+    "letters = [\"a\", \"b\", \"c\", \"d\", \"e\"]\n",
+    "contador=0\n",
+    "\n",
+    "for i in letters:\n",
+    "    num=tup3.count(i)\n",
+    "    if num>0:\n",
+    "        print('la letra i se repite', num, 'veces')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -219,7 +364,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
diff --git a/your-code/challenge-2.ipynb b/your-code/challenge-2.ipynb
index 41d6911..9e86265 100644
--- a/your-code/challenge-2.ipynb
+++ b/your-code/challenge-2.ipynb
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 145,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,11 +38,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100]\n",
+      "[30, 81, 47, 90, 77, 48, 26, 33, 70, 80, 83, 61, 57, 71, 12, 19, 78, 56, 68, 1, 65, 95, 41, 72, 8, 5, 15, 94, 98, 60, 73, 82, 45, 23, 20, 66, 29, 25, 13, 4, 52, 10, 91, 16, 59, 88, 37, 36, 11, 62, 79, 39, 74, 34, 7, 100, 46, 49, 85, 75, 38, 31, 54, 97, 2, 67, 89, 22, 87, 50, 69, 76, 40, 21, 9, 42, 18, 0, 44, 53]\n"
+     ]
+    }
+   ],
+   "source": [
+    "ls=list(range(0,101))\n",
+    "print(ls)\n",
+    "\n",
+    "sample_list_1=random.sample(ls, 80)\n",
+    "print(sample_list_1)\n",
+    "\n"
    ]
   },
   {
@@ -54,11 +68,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 147,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 18, 19, 20, 21, 22, 23, 25, 26, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 87, 88, 89, 90, 91, 94, 95, 97, 98, 100}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set1=set(sample_list_1)\n",
+    "print(set1)"
    ]
   },
   {
@@ -77,11 +100,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[59, 84, 35, 85, 90, 36, 58, 86, 34, 43, 50, 51, 21, 1, 7, 81, 49, 95, 81, 82, 17, 72, 49, 64, 69, 66, 4, 64, 18, 39, 35, 52, 79, 16, 9, 38, 60, 67, 39, 91, 47, 77, 86, 25, 35, 53, 88, 79, 28, 48, 64, 16, 58, 30, 7, 18, 45, 59, 52, 47, 69, 17, 25, 12, 79, 89, 12, 94, 30, 41, 17, 21, 20, 85, 74, 92, 56, 67, 36, 18]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "list"
+      ]
+     },
+     "execution_count": 148,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample_list_2=[]\n",
+    "for i in range(80):\n",
+    "    a=random.randrange(1,101)\n",
+    "    sample_list_2.append(a)\n",
+    "print(sample_list_2)\n",
+    "type(sample_list_2)\n"
    ]
   },
   {
@@ -93,11 +139,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 149,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "52"
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set2=set(sample_list_2)\n",
+    "len(set2)"
    ]
   },
   {
@@ -109,11 +167,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 150,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 2, 5, 8, 10, 11, 13, 15, 19, 22, 23, 26, 29, 31, 33, 37, 40, 42, 44, 46, 54, 57, 61, 62, 65, 68, 70, 71, 73, 75, 76, 78, 80, 83, 87, 97, 98, 100}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set3=set1.difference(set2)\n",
+    "print(set3)\n"
    ]
   },
   {
@@ -125,11 +192,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 151,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{64, 35, 43, 92, 17, 51, 84, 86, 58, 28}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set4=set2.difference(set1)\n",
+    "print(set4)\n"
    ]
   },
   {
@@ -141,11 +217,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 152,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{1, 4, 7, 9, 12, 16, 18, 20, 21, 25, 30, 34, 36, 38, 39, 41, 45, 47, 48, 49, 50, 52, 53, 56, 59, 60, 66, 67, 69, 72, 74, 77, 79, 81, 82, 85, 88, 89, 90, 91, 94, 95}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set5=set1.intersection(set2)\n",
+    "print(set5)\n"
    ]
   },
   {
@@ -165,11 +250,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 153,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "80\n",
+      "52\n",
+      "38\n",
+      "10\n",
+      "42\n",
+      "90\n",
+      "90\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(set1))\n",
+    "print(len(set2))\n",
+    "print(len(set3))\n",
+    "print(len(set4))\n",
+    "print(len(set5))\n",
+    "\n",
+    "x=set1.union(set2)\n",
+    "print(len(x))\n",
+    "\n",
+    "y=len(set3)+len(set4)+len(set5)\n",
+    "print(y)"
    ]
   },
   {
@@ -181,11 +290,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 154,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "set"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set6= set()\n",
+    "type(set6)"
    ]
   },
   {
@@ -197,11 +318,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 155,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 18, 19, 20, 21, 22, 23, 25, 26, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 87, 88, 89, 90, 91, 94, 95, 97, 98, 100}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set6.update(set3)\n",
+    "set6.update(set5)\n",
+    "print(set6)"
    ]
   },
   {
@@ -213,11 +344,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 156,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "print(set1==set6)"
    ]
   },
   {
@@ -229,11 +368,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 157,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "print(set1.issubset(set2))\n"
    ]
   },
   {
@@ -247,11 +394,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 158,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 95, 97, 98, 100}\n",
+      "{0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 94, 95, 97, 98, 100}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "90"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "w=set3.union(set4, set5)\n",
+    "print(w)\n",
+    "w1=w.union(set1, set2)\n",
+    "print(w1)\n",
+    "len(w1)"
    ]
   },
   {
@@ -263,11 +433,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 159,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set1.pop()\n"
    ]
   },
   {
@@ -283,17 +464,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{2, 4, 5, 7, 8, 10, 12, 13, 15, 16, 18, 20, 21, 22, 23, 25, 26, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 53, 54, 56, 57, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 85, 87, 88, 89, 90, 91, 94, 95, 97, 98, 100}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "list_to_remove = [1, 9, 11, 19, 21, 29, 31, 39, 41, 49, 51, 59, 61, 69, 71, 79, 81, 89, 91, 99]\n",
+    "list_to_remove=set(list_to_remove)    \n",
+    "\n",
+    "last=set1.symmetric_difference(list_to_remove)\n",
+    "\n",
+    "print(last)\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -307,7 +505,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,
diff --git a/your-code/challenge-3.ipynb b/your-code/challenge-3.ipynb
index 7ab8ea5..2cf16c7 100644
--- a/your-code/challenge-3.ipynb
+++ b/your-code/challenge-3.ipynb
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,11 +49,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['a', 'about', 'all', 'although', 'and', 'are', 'at', 'baby', 'backseat', 'bag', 'bar', 'be', 'bedsheets', 'begin', 'best', 'body', 'boy', 'brand', 'can', 'chance', 'club', 'come', 'conversation', 'crazy', 'dance', 'date', 'day', 'discovering', 'do', 'doing', \"don't\", 'drinking', 'driver', 'eat', 'every', 'falling', 'family', 'fast', 'fill', 'find', 'first', 'follow', 'for', 'friends', 'get', 'girl', 'give', 'go', 'going', 'grab', 'hand', 'handmade', 'heart', 'hours', 'how', 'i', \"i'll\", \"i'm\", 'in', 'is', \"isn't\", 'it', 'jukebox', 'just', 'kiss', 'know', 'last', 'lead', 'leave', 'let', \"let's\", 'like', 'love', 'lover', 'magnet', 'make', 'man', 'may', 'me', 'mind', 'much', 'my', 'new', 'night', 'not', 'now', 'of', 'okay', 'on', 'one', 'our', 'out', 'over', 'place', 'plate', 'play', 'pull', 'push', 'put', 'radio', 'room', 'say', 'shape', 'shots', 'singing', 'slow', 'smell', 'so', 'somebody', 'something', 'sour', 'start', 'stop', 'story', 'sweet', 'table', 'take', 'talk', 'taxi', 'tell', 'that', 'the', 'then', 'thrifty', 'to', 'too', 'trust', 'up', 'van', 'waist', 'want', 'was', 'we', \"we're\", 'week', 'were', 'where', 'with', 'you', 'your']\n",
+      "{'a': 8, 'about': 1, 'all': 1, 'although': 3, 'and': 23, 'are': 1, 'at': 1, 'baby': 14, 'backseat': 1, 'bag': 1, 'bar': 1, 'be': 16, 'bedsheets': 3, 'begin': 1, 'best': 1, 'body': 17, 'boy': 2, 'brand': 6, 'can': 1, 'chance': 1, 'club': 1, 'come': 37, 'conversation': 1, 'crazy': 2, 'dance': 1, 'date': 1, 'day': 6, 'discovering': 6, 'do': 3, 'doing': 2, \"don't\": 2, 'drinking': 1, 'driver': 1, 'eat': 1, 'every': 6, 'falling': 3, 'family': 1, 'fast': 1, 'fill': 2, 'find': 1, 'first': 1, 'follow': 6, 'for': 3, 'friends': 1, 'get': 1, 'girl': 2, 'give': 1, 'go': 2, 'going': 1, 'grab': 2, 'hand': 1, 'handmade': 2, 'heart': 3, 'hours': 2, 'how': 1, 'i': 6, \"i'll\": 1, \"i'm\": 23, 'in': 27, 'is': 5, \"isn't\": 1, 'it': 1, 'jukebox': 1, 'just': 1, 'kiss': 1, 'know': 2, 'last': 3, 'lead': 6, 'leave': 1, 'let': 1, \"let's\": 2, 'like': 10, 'love': 25, 'lover': 1, 'magnet': 3, 'make': 1, 'man': 1, 'may': 2, 'me': 10, 'mind': 2, 'much': 2, 'my': 33, 'new': 6, 'night': 3, 'not': 2, 'now': 11, 'of': 6, 'okay': 1, 'on': 40, 'one': 1, 'our': 1, 'out': 1, 'over': 1, 'place': 1, 'plate': 1, 'play': 1, 'pull': 3, 'push': 3, 'put': 3, 'radio': 1, 'room': 3, 'say': 2, 'shape': 6, 'shots': 1, 'singing': 2, 'slow': 1, 'smell': 3, 'so': 2, 'somebody': 2, 'something': 6, 'sour': 1, 'start': 2, 'stop': 1, 'story': 1, 'sweet': 1, 'table': 1, 'take': 1, 'talk': 4, 'taxi': 1, 'tell': 1, 'that': 2, 'the': 18, 'then': 3, 'thrifty': 1, 'to': 2, 'too': 5, 'trust': 1, 'up': 3, 'van': 1, 'waist': 2, 'want': 2, 'was': 2, 'we': 7, \"we're\": 1, 'week': 1, 'were': 3, 'where': 1, 'with': 22, 'you': 16, 'your': 21}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "keys=list(word_freq.keys())\n",
+    "keys.sort()\n",
+    "print(keys)\n",
+    "word_freq2={}\n",
+    "\n",
+    "for key in keys:\n",
+    "    value=word_freq[key]\n",
+    "    word_freq2[key]=value\n",
+    "print(word_freq2)"
    ]
   },
   {
@@ -90,11 +107,167 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('conversation', 1), (\"we're\", 1), ('plate', 1), ('sour', 1), ('jukebox', 1), ('taxi', 1), ('fast', 1), ('bag', 1), ('man', 1), ('going', 1), ('one', 1), ('backseat', 1), ('friends', 1), ('take', 1), ('play', 1), ('okay', 1), ('begin', 1), ('over', 1), ('just', 1), ('are', 1), ('tell', 1), ('drinking', 1), ('our', 1), ('where', 1), (\"i'll\", 1), ('all', 1), (\"isn't\", 1), ('make', 1), ('lover', 1), ('get', 1), ('radio', 1), ('give', 1), ('can', 1), ('club', 1), ('it', 1), ('out', 1), ('chance', 1), ('first', 1), ('table', 1), ('thrifty', 1), ('driver', 1), ('slow', 1), ('dance', 1), ('trust', 1), ('family', 1), ('week', 1), ('date', 1), ('leave', 1), ('at', 1), ('hand', 1), ('how', 1), ('eat', 1), ('about', 1), ('story', 1), ('sweet', 1), ('best', 1), ('let', 1), ('van', 1), ('shots', 1), ('place', 1), ('find', 1), ('kiss', 1), ('stop', 1), ('bar', 1), (\"don't\", 2), ('mind', 2), ('know', 2), ('so', 2), ('start', 2), ('boy', 2), ('girl', 2), ('singing', 2), ('doing', 2), ('somebody', 2), ('handmade', 2), ('may', 2), ('that', 2), ('much', 2), ('grab', 2), ('was', 2), ('say', 2), ('waist', 2), ('want', 2), (\"let's\", 2), ('not', 2), ('crazy', 2), ('go', 2), ('to', 2), ('fill', 2), ('hours', 2), ('push', 3), ('then', 3), ('put', 3), ('room', 3), ('magnet', 3), ('up', 3), ('pull', 3), ('last', 3), ('do', 3), ('smell', 3), ('although', 3), ('falling', 3), ('were', 3), ('night', 3), ('heart', 3), ('for', 3), ('bedsheets', 3), ('talk', 4), ('too', 5), ('is', 5), ('every', 6), ('new', 6), ('follow', 6), ('brand', 6), ('of', 6), ('i', 6), ('day', 6), ('lead', 6), ('shape', 6), ('discovering', 6), ('something', 6), ('we', 7), ('a', 8), ('like', 10), ('me', 10), ('now', 11), ('baby', 14), ('you', 16), ('be', 16), ('body', 17), ('the', 18), ('your', 21), ('with', 22), (\"i'm\", 23), ('and', 23), ('love', 25), ('in', 27), ('my', 33), ('come', 37), ('on', 40)]\n",
+      "('conversation', 1)\n",
+      "(\"we're\", 1)\n",
+      "('plate', 1)\n",
+      "('sour', 1)\n",
+      "('jukebox', 1)\n",
+      "('taxi', 1)\n",
+      "('fast', 1)\n",
+      "('bag', 1)\n",
+      "('man', 1)\n",
+      "('going', 1)\n",
+      "('one', 1)\n",
+      "('backseat', 1)\n",
+      "('friends', 1)\n",
+      "('take', 1)\n",
+      "('play', 1)\n",
+      "('okay', 1)\n",
+      "('begin', 1)\n",
+      "('over', 1)\n",
+      "('just', 1)\n",
+      "('are', 1)\n",
+      "('tell', 1)\n",
+      "('drinking', 1)\n",
+      "('our', 1)\n",
+      "('where', 1)\n",
+      "(\"i'll\", 1)\n",
+      "('all', 1)\n",
+      "(\"isn't\", 1)\n",
+      "('make', 1)\n",
+      "('lover', 1)\n",
+      "('get', 1)\n",
+      "('radio', 1)\n",
+      "('give', 1)\n",
+      "('can', 1)\n",
+      "('club', 1)\n",
+      "('it', 1)\n",
+      "('out', 1)\n",
+      "('chance', 1)\n",
+      "('first', 1)\n",
+      "('table', 1)\n",
+      "('thrifty', 1)\n",
+      "('driver', 1)\n",
+      "('slow', 1)\n",
+      "('dance', 1)\n",
+      "('trust', 1)\n",
+      "('family', 1)\n",
+      "('week', 1)\n",
+      "('date', 1)\n",
+      "('leave', 1)\n",
+      "('at', 1)\n",
+      "('hand', 1)\n",
+      "('how', 1)\n",
+      "('eat', 1)\n",
+      "('about', 1)\n",
+      "('story', 1)\n",
+      "('sweet', 1)\n",
+      "('best', 1)\n",
+      "('let', 1)\n",
+      "('van', 1)\n",
+      "('shots', 1)\n",
+      "('place', 1)\n",
+      "('find', 1)\n",
+      "('kiss', 1)\n",
+      "('stop', 1)\n",
+      "('bar', 1)\n",
+      "(\"don't\", 2)\n",
+      "('mind', 2)\n",
+      "('know', 2)\n",
+      "('so', 2)\n",
+      "('start', 2)\n",
+      "('boy', 2)\n",
+      "('girl', 2)\n",
+      "('singing', 2)\n",
+      "('doing', 2)\n",
+      "('somebody', 2)\n",
+      "('handmade', 2)\n",
+      "('may', 2)\n",
+      "('that', 2)\n",
+      "('much', 2)\n",
+      "('grab', 2)\n",
+      "('was', 2)\n",
+      "('say', 2)\n",
+      "('waist', 2)\n",
+      "('want', 2)\n",
+      "(\"let's\", 2)\n",
+      "('not', 2)\n",
+      "('crazy', 2)\n",
+      "('go', 2)\n",
+      "('to', 2)\n",
+      "('fill', 2)\n",
+      "('hours', 2)\n",
+      "('push', 3)\n",
+      "('then', 3)\n",
+      "('put', 3)\n",
+      "('room', 3)\n",
+      "('magnet', 3)\n",
+      "('up', 3)\n",
+      "('pull', 3)\n",
+      "('last', 3)\n",
+      "('do', 3)\n",
+      "('smell', 3)\n",
+      "('although', 3)\n",
+      "('falling', 3)\n",
+      "('were', 3)\n",
+      "('night', 3)\n",
+      "('heart', 3)\n",
+      "('for', 3)\n",
+      "('bedsheets', 3)\n",
+      "('talk', 4)\n",
+      "('too', 5)\n",
+      "('is', 5)\n",
+      "('every', 6)\n",
+      "('new', 6)\n",
+      "('follow', 6)\n",
+      "('brand', 6)\n",
+      "('of', 6)\n",
+      "('i', 6)\n",
+      "('day', 6)\n",
+      "('lead', 6)\n",
+      "('shape', 6)\n",
+      "('discovering', 6)\n",
+      "('something', 6)\n",
+      "('we', 7)\n",
+      "('a', 8)\n",
+      "('like', 10)\n",
+      "('me', 10)\n",
+      "('now', 11)\n",
+      "('baby', 14)\n",
+      "('you', 16)\n",
+      "('be', 16)\n",
+      "('body', 17)\n",
+      "('the', 18)\n",
+      "('your', 21)\n",
+      "('with', 22)\n",
+      "(\"i'm\", 23)\n",
+      "('and', 23)\n",
+      "('love', 25)\n",
+      "('in', 27)\n",
+      "('my', 33)\n",
+      "('come', 37)\n",
+      "('on', 40)\n",
+      "{'conversation': 1, \"we're\": 1, 'plate': 1, 'sour': 1, 'jukebox': 1, 'taxi': 1, 'fast': 1, 'bag': 1, 'man': 1, 'going': 1, 'one': 1, 'backseat': 1, 'friends': 1, 'take': 1, 'play': 1, 'okay': 1, 'begin': 1, 'over': 1, 'just': 1, 'are': 1, 'tell': 1, 'drinking': 1, 'our': 1, 'where': 1, \"i'll\": 1, 'all': 1, \"isn't\": 1, 'make': 1, 'lover': 1, 'get': 1, 'radio': 1, 'give': 1, 'can': 1, 'club': 1, 'it': 1, 'out': 1, 'chance': 1, 'first': 1, 'table': 1, 'thrifty': 1, 'driver': 1, 'slow': 1, 'dance': 1, 'trust': 1, 'family': 1, 'week': 1, 'date': 1, 'leave': 1, 'at': 1, 'hand': 1, 'how': 1, 'eat': 1, 'about': 1, 'story': 1, 'sweet': 1, 'best': 1, 'let': 1, 'van': 1, 'shots': 1, 'place': 1, 'find': 1, 'kiss': 1, 'stop': 1, 'bar': 1, \"don't\": 2, 'mind': 2, 'know': 2, 'so': 2, 'start': 2, 'boy': 2, 'girl': 2, 'singing': 2, 'doing': 2, 'somebody': 2, 'handmade': 2, 'may': 2, 'that': 2, 'much': 2, 'grab': 2, 'was': 2, 'say': 2, 'waist': 2, 'want': 2, \"let's\": 2, 'not': 2, 'crazy': 2, 'go': 2, 'to': 2, 'fill': 2, 'hours': 2, 'push': 3, 'then': 3, 'put': 3, 'room': 3, 'magnet': 3, 'up': 3, 'pull': 3, 'last': 3, 'do': 3, 'smell': 3, 'although': 3, 'falling': 3, 'were': 3, 'night': 3, 'heart': 3, 'for': 3, 'bedsheets': 3, 'talk': 4, 'too': 5, 'is': 5, 'every': 6, 'new': 6, 'follow': 6, 'brand': 6, 'of': 6, 'i': 6, 'day': 6, 'lead': 6, 'shape': 6, 'discovering': 6, 'something': 6, 'we': 7, 'a': 8, 'like': 10, 'me': 10, 'now': 11, 'baby': 14, 'you': 16, 'be': 16, 'body': 17, 'the': 18, 'your': 21, 'with': 22, \"i'm\": 23, 'and': 23, 'love': 25, 'in': 27, 'my': 33, 'come': 37, 'on': 40}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "import operator\n",
+    "sorted_tups = sorted(word_freq.items(), key=operator.itemgetter(1))\n",
+    "print(sorted_tups)\n",
+    "word_freq2={}\n",
+    "for tup in sorted_tups:\n",
+    "    print(tup)\n",
+    "    word_freq2[tup[0]] = tup[1]\n",
+    "print(word_freq2)"
    ]
   },
   {
@@ -110,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -132,11 +305,65 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "             word  freq\n",
+      "0            love    25\n",
+      "1    conversation     1\n",
+      "2           every     6\n",
+      "3           we're     1\n",
+      "4           plate     1\n",
+      "..            ...   ...\n",
+      "135     bedsheets     3\n",
+      "136          fill     2\n",
+      "137         hours     2\n",
+      "138          stop     1\n",
+      "139           bar     1\n",
+      "\n",
+      "[140 rows x 2 columns]\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "df = pd.DataFrame(list(word_freq.items()), columns=['word', 'freq'])\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "             word freq\n",
+      "0            love   25\n",
+      "1    conversation    1\n",
+      "2           every    6\n",
+      "3           we're    1\n",
+      "4           plate    1\n",
+      "..            ...  ...\n",
+      "135     bedsheets    3\n",
+      "136          fill    2\n",
+      "137         hours    2\n",
+      "138          stop    1\n",
+      "139           bar    1\n",
+      "\n",
+      "[140 rows x 2 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "df= pd.DataFrame([word_freq.keys(), word_freq.values()]).T\n",
+    "df.columns= ['word', 'freq']\n",
+    "print(df)"
    ]
   },
   {
@@ -150,11 +377,120 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [],
+   "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>word</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>a</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>about</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>all</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>although</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>and</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>128</th>\n",
+       "      <td>were</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>where</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>with</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>you</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>your</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>140 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         word  freq\n",
+       "120         a     8\n",
+       "109     about     1\n",
+       "43        all     1\n",
+       "96   although     3\n",
+       "72        and    23\n",
+       "..        ...   ...\n",
+       "128      were     3\n",
+       "41      where     1\n",
+       "54       with    22\n",
+       "15        you    16\n",
+       "97       your    21\n",
+       "\n",
+       "[140 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "df.sort_values(by='word')\n"
    ]
   },
   {
@@ -166,17 +502,126 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {},
-   "outputs": [],
+   "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>word</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>139</th>\n",
+       "      <td>bar</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>let</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>116</th>\n",
+       "      <td>van</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>out</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>it</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>love</td>\n",
+       "      <td>25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>in</td>\n",
+       "      <td>27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>121</th>\n",
+       "      <td>my</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>come</td>\n",
+       "      <td>37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>126</th>\n",
+       "      <td>on</td>\n",
+       "      <td>40</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>140 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     word freq\n",
+       "139   bar    1\n",
+       "114   let    1\n",
+       "116   van    1\n",
+       "60    out    1\n",
+       "57     it    1\n",
+       "..    ...  ...\n",
+       "0    love   25\n",
+       "65     in   27\n",
+       "121    my   33\n",
+       "56   come   37\n",
+       "126    on   40\n",
+       "\n",
+       "[140 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "df.sort_values(by='freq')"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -190,7 +635,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,