diff --git a/f23/.gitignore b/f23/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..b79ed2b0f56a0d411374b09e0a205c577d4fafa3
--- /dev/null
+++ b/f23/.gitignore
@@ -0,0 +1 @@
+**/.ipynb_checkpoints/**
\ No newline at end of file
diff --git a/f23/Cole_Lecture_Notes/04_Vars_and_Exprs/Lec_04_Vars_and_Exprs_Solution_Nelson.ipynb b/f23/Cole_Lecture_Notes/04_Vars_and_Exprs/Lec_04_Vars_and_Exprs_Solution_Nelson.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..ad08baae6e0146bb494d7de1a3ca646261f380e8
--- /dev/null
+++ b/f23/Cole_Lecture_Notes/04_Vars_and_Exprs/Lec_04_Vars_and_Exprs_Solution_Nelson.ipynb
@@ -0,0 +1,748 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Warmup 1\n",
+    "# Put the following in the correct order of operator precedence\n",
+    "\n",
+    "# comparison:  ==, !=, <, <=, >, >=\n",
+    "# signs: +x, -x\n",
+    "# AND: and\n",
+    "# add/subtract: +, -\n",
+    "# exponents: **\n",
+    "# NOT: not\n",
+    "# OR: or\n",
+    "# multiply/divide: *, /, //, %"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "11\n",
+      "-100\n",
+      "1\n",
+      "2\n",
+      "-2\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Warmup 2\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(5 + 2 * 3) # 11\n",
+    "print(-10 ** 2) # -100\n",
+    "print(5 // 3) # 1\n",
+    "print(5 % 3) # 2\n",
+    "print (-5 // 3) # -2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CS220 is fun!CS220 is fun!CS220 is fun!\n",
+      "Hello\tWorld\n",
+      "7\n",
+      "34\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Warmup 3\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(\"CS220 is fun!\" * 3) # CS220 is fun!CS220 is fun!CS220 is fun!\n",
+    "print(\"Hello\\tWorld\") # Hello    World\n",
+    "print(3 + 4) # 7\n",
+    "print(\"3\" + '4') # 34"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n",
+      "False\n",
+      "True\n",
+      "True\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Warmup 4\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(5 > 7) # False\n",
+    "print(not 12 <= 21) # False\n",
+    "print(1 > 2 or 3 < 4) # True\n",
+    "print(0 == 0 and 7 != 7.1) # True"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n",
+      "True\n",
+      "True\n",
+      "False\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Warmup 5\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(\"Hello\" == \"World\") # False\n",
+    "print(\"Hello\" < \"Hi\") # True\n",
+    "print(\"H\" < \"W\") # True\n",
+    "print(\"h\" < \"W\") # False"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Reminder...\n",
+    "\n",
+    "- An **operator** is either mathematical (*, /, +, etc.,), comparison (==, <, etc.,), or logical (`not`, `and`, `or`).\n",
+    "- An **operand** is the data value that an operator operates on.\n",
+    "    - **unary operators** of signs are applied on a single operand. \n",
+    "    - **binary operators** are applied on two operands.\n",
+    "- An **expression** is the combination of **operator(s)** and **operand(s)**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Variables and Expressions\n",
+    "\n",
+    "## Readings:\n",
+    "- Chapter 2 of Think Python, \n",
+    "- Chapter 3 of Python for Everybody"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Nice Shortcuts\n",
+    "* SHIFT + ENTER = cell execution (= Run)\n",
+    "* ESC + A = add a cell above the current cell\n",
+    "* ESC + B = add a cell below the current cell\n",
+    "* ESC + L = toggle the line numbers\n",
+    "* CTRL + / = toggle comment(s) (that is, adds/removes #)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Learning Objectives\n",
+    "After this lecture you will be able to...\n",
+    "- Evaluate expressions by identifying:\n",
+    "    - operators and operands\n",
+    "    - literal values and variables\n",
+    "    - correct order of operations\n",
+    "- Write correct Boolean expressions containing Boolean operators “or” and “and”\n",
+    "- Write assignment statements with variables following proper naming rules\n",
+    "- Define, give examples of, and identify 3 kinds of errors\n",
+    "    - Syntax error\n",
+    "    - Runtime error\n",
+    "    - Semantic\n",
+    "- Write code to perform computations with\n",
+    "    - int, float, string, and bool types"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True\n"
+     ]
+    }
+   ],
+   "source": [
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(1 == 1 or (8/0) == -12) # Short Circuits - True"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Short Circuiting\n",
+    "\n",
+    "- Logical operators are read left-to-right\n",
+    "- If one of the expressions in an OR statement is `True`, the entire statement is `True`.\n",
+    "- Likewise, if one of the expressions in an AND statement is `False`, the entire statement is `False`.\n",
+    "- Don't waste time evaluating!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# What will this expression evaluate to?\n",
+    "1 + 1 == 2 or 1 / 0 == -100 # Short Circuits - True"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# What will this expression evaluate to?\n",
+    "0 + 0 == 1 and 1 / 0 == -100 # Short Circuits - False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ZeroDivisionError",
+     "evalue": "division by zero",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[9], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# What will this expression evaluate to?\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;241m1\u001b[39m \u001b[38;5;241m/\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m100\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;241m0\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m\n",
+      "\u001b[1;31mZeroDivisionError\u001b[0m: division by zero"
+     ]
+    }
+   ],
+   "source": [
+    "# What will this expression evaluate to?\n",
+    "1 / 0 == -100 and 0 + 0 == 1 # ERROR"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correct way of writing Boolean expressions\n",
+    "\n",
+    "- Logical operators (`and`, `or`, `not`) should only accept booleans!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2\n",
+      "True\n"
+     ]
+    }
+   ],
+   "source": [
+    "# How to say is 6 greater than 1 and 2?\n",
+    "print(6 > 1 and 2) # What?\n",
+    "print(6 > 1 and 6 > 2) # Correct"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Variables\n",
+    "`10`, `22.0`, `\"hello\"`, `'goodbye'`, `True`, `False`... are known as *literal values*.\n",
+    "\n",
+    "However, variables *vary* over time. They are assigned using the `=` operator. The left hand side must be a variable, and the right hand side must be an expression!\n",
+    "\n",
+    "Variables look like... `x`, `player_score`, `my_cool_name`, `some_thing`... You can name them almost whatever you like (see slides for details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.5\n",
+      "4.5\n",
+      "6.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# We create a variable called \"x\" and assign it the value 1.5.\n",
+    "x = 1.5\n",
+    "\n",
+    "# We create a new variable called \"y\" and assign the value of x * 3 to it.\n",
+    "y = x * 3\n",
+    "\n",
+    "# We print the values of x, y, and x + y. What do you think these will be?\n",
+    "print(x)\n",
+    "print(y)\n",
+    "print(x + y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "All Cookies\n",
+      "60\n",
+      "\n",
+      "Burned Cookies\n",
+      "15.0\n",
+      "\n",
+      "Good Cookies\n",
+      "45.0\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Notice how we give meaningful variable names!\n",
+    "# It would be confusing to have variable names such as v, w, x, y, and z.\n",
+    "\n",
+    "percent_burn = 0.25\n",
+    "sheets_of_cookie_dough = 5\n",
+    "\n",
+    "all_cookies = sheets_of_cookie_dough * 12\n",
+    "burned_cookies = all_cookies * percent_burn\n",
+    "good_cookies = all_cookies - burned_cookies\n",
+    "\n",
+    "print('All Cookies')\n",
+    "print(all_cookies)\n",
+    "print()\n",
+    "\n",
+    "print('Burned Cookies')\n",
+    "print(burned_cookies)\n",
+    "print()\n",
+    "\n",
+    "print('Good Cookies')\n",
+    "print(good_cookies)\n",
+    "print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## You try!\n",
+    "Try to complete these problems on your own or with someone sitting next to you."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "420.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "hours = 40\n",
+    "pay_rate = 10.50\n",
+    "\n",
+    "# Uncomment the line below and complete the paycheck calculation!\n",
+    "paycheck = hours * pay_rate \n",
+    "\n",
+    "print(paycheck)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "True\n"
+     ]
+    }
+   ],
+   "source": [
+    "student_age = 19\n",
+    "\n",
+    "# Create a variable called old_enough_to_vote.\n",
+    "# If the student's age is >= 18, the value of this variable should be True.\n",
+    "# If the student's age is < 18, the value of this variable should be False.\n",
+    "\n",
+    "# Write your code here...\n",
+    "old_enough_to_vote = student_age >= 18\n",
+    "\n",
+    "print(old_enough_to_vote)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "7612.255042662042\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate the compound growth of the with the given interest over the given time of years\n",
+    "# and assign it to a variable called final_amount.\n",
+    "# Recall the formula for compound interest is principal*(1+rate)^time\n",
+    "principal = 1000\n",
+    "rate = 0.07\n",
+    "time = 30\n",
+    "\n",
+    "# Write your code here...\n",
+    "final_amount = principal*(1 + rate)**time\n",
+    "\n",
+    "print(final_amount)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### \"Syntactic Sugar\" Shortcuts: \n",
+    "Quick ways to write code! `+=`, `-=`, `*=`, `/=`, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "5\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = 2\n",
+    "x += 3 # sames as x = x + 3\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "7\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = 8\n",
+    "x -= 1 # sames as x = x - 1\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div>\n",
+    "<img src=\"attachment:Variable_naming.png\" width=\"600\"/>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Errors"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "| Error Type | Definition | Example |\n",
+    "| :- | :- | :- |\n",
+    "| Syntax Error | word soup, not grammatically sensible | `5 = x` |\n",
+    "| Runtime Error | need to run the program to encounter | `x = 5 / 0` |\n",
+    "| Semantic Error | runs but produces the wrong answer | `square_area = square_side * 2` |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Bob runs a community bakery. Every day, he recieves a shipment of dough balls, each of which bakes 4 loaves of bread, and he evenly splits the bread among his customers. Some days he may recieve 10 customers, 20 customers, and some days none at all! Below is the code that tells Bob how much bread he gave to each customer.\n",
+    "\n",
+    "Identify and correct a syntactic error, a runtime error, and a semantic error in his code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer's loaves of bread:\n",
+      "5.333333333333333\n"
+     ]
+    }
+   ],
+   "source": [
+    "# These two variables can change based on the day!\n",
+    "balls_of_dough = 20\n",
+    "num_customers = 15\n",
+    "\n",
+    "# There was a syntax and semantic error here!\n",
+    "# bread_baked has to be on the left hand side. (syntax)\n",
+    "# One doughball produces 4 loaves of bread, not 2 (semantics)\n",
+    "bread_baked = balls_of_dough * 4\n",
+    "\n",
+    "# This can run into a runtime error if num_customers is 0!\n",
+    "# In the future, we'll learn how to use an if statement\n",
+    "# to avoid this.\n",
+    "bread_per_customer = bread_baked / num_customers\n",
+    "\n",
+    "print('Customer\\'s loaves of bread:')\n",
+    "print(bread_per_customer)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Miscellaneous\n",
+    "Some other things that are good to know!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "6\n",
+      "3\n"
+     ]
+    }
+   ],
+   "source": [
+    "# The len function finds the length of some thing, if it has a length\n",
+    "name = 'Sam'\n",
+    "print(len(\"Stevie\"))\n",
+    "print(len(name))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Alice: ||||||||||\n",
+      "bob: ||||||||\n",
+      "Alice:     ||||||||||\n",
+      "bob:       ||||||||\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Using this len function, we can align strings more easily!\n",
+    "player1_name = 'Alice'\n",
+    "player2_name = 'bob'\n",
+    "\n",
+    "player1_score = 10\n",
+    "player2_score = 8\n",
+    "\n",
+    "#Scores are difficult to compare\n",
+    "print(player1_name + ': ' + '|' * player1_score)\n",
+    "print(player2_name + ': ' + '|' * player2_score)\n",
+    "\n",
+    "#Assuming name has a maximum of 9 characters\n",
+    "#Now scores are easier to read and compare\n",
+    "print(player1_name + ': ' + \" \" * (9 - len(player1_name)) + '|' * player1_score)\n",
+    "print(player2_name + ': ' + \" \" * (9 - len(player2_name)) + '|' * player2_score)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Extra Practice"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n",
+      "2\n",
+      "19\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Given the number of seconds, compute the number of hours, minutes, and seconds.\n",
+    "#  e.g. if seconds is 65, the correct output (with \\n in-between) is 0 1 5\n",
+    "#  e.g. if seconds is 192, the correct output (with \\n in-between) is 0 3 12\n",
+    "#  e.g. if seconds is 3739, the correct output (with \\n in-between) is 1 2 19\n",
+    "\n",
+    "seconds = 3739\n",
+    "\n",
+    "# First, we have to get the number of hours.\n",
+    "# There are 60 * 60 = 3600 seconds in an hour, so\n",
+    "# we use integer division to get the whole number of hours.\n",
+    "hours = seconds // 3600\n",
+    "\n",
+    "# What we have left over is the remainder of seconds.\n",
+    "# We use the modulos operator to get the remainder.\n",
+    "seconds = seconds % 3600\n",
+    "\n",
+    "# Same thing for minutes!\n",
+    "# We use integer division to get the whole number of minutes.\n",
+    "minutes = seconds // 60\n",
+    "\n",
+    "# What we have left over is the remainder of seconds.\n",
+    "seconds = seconds % 60\n",
+    "\n",
+    "# Print out our results\n",
+    "print(hours)\n",
+    "print(minutes)\n",
+    "print(seconds)"
+   ]
+  }
+ ],
+ "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": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/f23/Cole_Lecture_Notes/04_Vars_and_Exprs/Lec_04_Vars_and_Exprs_Template_Nelson.ipynb b/f23/Cole_Lecture_Notes/04_Vars_and_Exprs/Lec_04_Vars_and_Exprs_Template_Nelson.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..fe7092f67ae2bbf1f7b7abe687ceeaea45be6475
--- /dev/null
+++ b/f23/Cole_Lecture_Notes/04_Vars_and_Exprs/Lec_04_Vars_and_Exprs_Template_Nelson.ipynb
@@ -0,0 +1,516 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Warmup 1\n",
+    "# Put the following in the correct order of operator precedence\n",
+    "\n",
+    "# comparison:  ==, !=, <, <=, >, >=\n",
+    "# signs: +x, -x\n",
+    "# AND: and\n",
+    "# add/subtract: +, -\n",
+    "# exponents: **\n",
+    "# NOT: not\n",
+    "# OR: or\n",
+    "# multiply/divide: *, /, //, %\n",
+    "\n",
+    "# 1. \n",
+    "# 2. \n",
+    "# 3. \n",
+    "# 4. \n",
+    "# 5. \n",
+    "# 6.\n",
+    "# 7. \n",
+    "# 8. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Warmup 2\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(5 + 2 * 3) # WRITE YOUR PREDICTION HERE\n",
+    "print(-10 ** 2) # WRITE YOUR PREDICTION HERE\n",
+    "print(5 // 3) # WRITE YOUR PREDICTION HERE\n",
+    "print(5 % 3) # WRITE YOUR PREDICTION HERE\n",
+    "print (-5 // 3) # WRITE YOUR PREDICTION HERE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Warmup 3\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(\"CS220 is fun!\" * 3) # WRITE YOUR PREDICTION HERE\n",
+    "print(\"Hello\\tWorld\") # WRITE YOUR PREDICTION HERE\n",
+    "print(3 + 4) # WRITE YOUR PREDICTION HERE\n",
+    "print(\"3\" + '4') # WRITE YOUR PREDICTION HERE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Warmup 4\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(5 > 7) # WRITE YOUR PREDICTION HERE\n",
+    "print(not 12 <= 21) # WRITE YOUR PREDICTION HERE\n",
+    "print(1 > 2 or 3 < 4) # WRITE YOUR PREDICTION HERE\n",
+    "print(0 == 0 and 7 != 7.1) # WRITE YOUR PREDICTION HERE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Warmup 5\n",
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(\"Hello\" == \"World\") # WRITE YOUR PREDICTION HERE\n",
+    "print(\"Hello\" < \"Hi\") # WRITE YOUR PREDICTION HERE\n",
+    "print(\"H\" < \"W\") # WRITE YOUR PREDICTION HERE\n",
+    "print(\"h\" < \"W\") # WRITE YOUR PREDICTION HERE"
+   ]
+  },
+  {
+   "attachments": {
+    "image.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![image.png](attachment:image.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Reminder...\n",
+    "\n",
+    "- An **operator** is either mathematical (*, /, +, etc.,), comparison (==, <, etc.,), or logical (`not`, `and`, `or`).\n",
+    "- An **operand** is the data value that an operator operates on.\n",
+    "    - **unary operators** of signs are applied on a single operand. \n",
+    "    - **binary operators** are applied on two operands.\n",
+    "- An **expression** is the combination of **operator(s)** and **operand(s)**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Variables and Expressions\n",
+    "\n",
+    "## Readings:\n",
+    "- Chapter 2 of Think Python, \n",
+    "- Chapter 3 of Python for Everybody"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Nice Shortcuts\n",
+    "* SHIFT + ENTER = cell execution (= Run)\n",
+    "* ESC + A = add a cell above the current cell\n",
+    "* ESC + B = add a cell below the current cell\n",
+    "* ESC + L = toggle the line numbers\n",
+    "* CTRL + / = toggle comment(s) (that is, adds/removes #)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Learning Objectives\n",
+    "After this lecture you will be able to...\n",
+    "- Evaluate expressions by identifying:\n",
+    "    - operators and operands\n",
+    "    - literal values and variables\n",
+    "    - correct order of operations\n",
+    "- Write correct Boolean expressions containing Boolean operators “or” and “and”\n",
+    "- Write assignment statements with variables following proper naming rules\n",
+    "- Define, give examples of, and identify 3 kinds of errors\n",
+    "    - Syntax error\n",
+    "    - Runtime error\n",
+    "    - Semantic\n",
+    "- Write code to perform computations with\n",
+    "    - int, float, string, and bool types"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# What will be the output? Predict, then run the cell...\n",
+    "print(1 == 1 or (8/0) == -12) # WRITE YOUR PREDICTION HERE"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Short Circuiting\n",
+    "\n",
+    "- Logical operators are read left-to-right\n",
+    "- If one of the expressions in an OR statement is `True`, the entire statement is `True`.\n",
+    "- Likewise, if one of the expressions in an AND statement is `False`, the entire statement is `False`.\n",
+    "- Don't waste time evaluating!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# What will this expression evaluate to?\n",
+    "1 + 1 == 2 or 1 / 0 == -100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# What will this expression evaluate to?\n",
+    "0 + 0 == 1 and 1 / 0 == -100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# What will this expression evaluate to?\n",
+    "1 / 0 == -100 and 0 + 0 == 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correct way of writing Boolean expressions\n",
+    "\n",
+    "- Logical operators (`and`, `or`, `not`) should only accept booleans!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# How to say is 6 greater than 1 and 2?\n",
+    "print(6 > 1 and 2) # What?\n",
+    "print(6 > 1 and 6 > 2) # Correct"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Variables\n",
+    "`10`, `22.0`, `\"hello\"`, `'goodbye'`, `True`, `False`... are known as *literal values*.\n",
+    "\n",
+    "However, variables *vary* over time. They are assigned using the `=` operator. The left hand side must be a variable, and the right hand side must be an expression!\n",
+    "\n",
+    "Variables look like... `x`, `player_score`, `my_cool_name`, `some_thing`... You can name them almost whatever you like (see slides for details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We create a variable called \"x\" and assign it the value 1.5.\n",
+    "x = 1.5\n",
+    "\n",
+    "# We create a new variable called \"y\" and assign the value of x * 3 to it.\n",
+    "y = x * 3\n",
+    "\n",
+    "# We print the values of x, y, and x + y. What do you think these will be?\n",
+    "print(x)\n",
+    "print(y)\n",
+    "print(x + y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Notice how we give meaningful variable names!\n",
+    "# It would be confusing to have variable names such as v, w, x, y, and z.\n",
+    "\n",
+    "percent_burn = 0.25\n",
+    "sheets_of_cookie_dough = 5\n",
+    "\n",
+    "all_cookies = sheets_of_cookie_dough * 12\n",
+    "burned_cookies = all_cookies * percent_burn\n",
+    "good_cookies = all_cookies - burned_cookies\n",
+    "\n",
+    "print('All Cookies')\n",
+    "print(all_cookies)\n",
+    "print()\n",
+    "\n",
+    "print('Burned Cookies')\n",
+    "print(burned_cookies)\n",
+    "print()\n",
+    "\n",
+    "print('Good Cookies')\n",
+    "print(good_cookies)\n",
+    "print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## You try!\n",
+    "Try to complete these problems on your own or with someone sitting next to you."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hours = 40\n",
+    "pay_rate = 10.50\n",
+    "\n",
+    "# Uncomment the line below and complete the paycheck calculation!\n",
+    "# paycheck = \n",
+    "\n",
+    "print(paycheck)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "student_age = 19\n",
+    "\n",
+    "# Create a variable called old_enough_to_vote.\n",
+    "# If the student's age is >= 18, the value of this variable should be True.\n",
+    "# If the student's age is < 18, the value of this variable should be False.\n",
+    "\n",
+    "# Write your code here...\n",
+    "\n",
+    "print(old_enough_to_vote)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate the compound growth of the with the given interest over the given time of years\n",
+    "# and assign it to a variable called final_amount.\n",
+    "# Recall the formula for compound interest is principal*(1+rate)^time\n",
+    "principal = 1000\n",
+    "rate = 0.07\n",
+    "time = 30\n",
+    "\n",
+    "# Write your code here...\n",
+    "\n",
+    "print(final_amount)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### \"Syntactic Sugar\" Shortcuts: \n",
+    "Quick ways to write code! `+=`, `-=`, `*=`, `/=`, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = 2\n",
+    "x += 3 # sames as x = x + 3\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = 8\n",
+    "x -= 1 # sames as x = x - 1\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div>\n",
+    "<img src=\"attachment:Variable_naming.png\" width=\"600\"/>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Errors"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "| Error Type | Definition | Example |\n",
+    "| :- | :- | :- |\n",
+    "| Syntax Error | word soup, not grammatically sensible | `5 = x` |\n",
+    "| Runtime Error | need to run the program to encounter | `x = 5 / 0` |\n",
+    "| Semantic Error | runs but produces the wrong answer | `square_area = square_side * 2` |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Bob runs a community bakery. Every day, he recieves a shipment of dough balls, each of which bakes 4 loaves of bread, and he evenly splits the bread among his customers. Some days he may recieve 10 customers, 20 customers, and some days none at all! Below is the code that tells Bob how much bread he gave to each customer.\n",
+    "\n",
+    "Identify and correct a syntactic error, a runtime error, and a semantic error in his code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# These two variables can change based on the day!\n",
+    "balls_of_dough = 20\n",
+    "num_customers = 15\n",
+    "\n",
+    "balls_of_dough * 2 = bread_baked\n",
+    "bread_per_customer = bread_baked / num_customers\n",
+    "\n",
+    "print('Customer\\'s loaves of bread:')\n",
+    "print(bread_per_customer)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Miscellaneous\n",
+    "Some other things that are good to know!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The len function finds the length of some thing, if it has a length\n",
+    "name = 'Sam'\n",
+    "print(len(\"Stevie\"))\n",
+    "print(len(name))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Using this len function, we can align strings more easily!\n",
+    "player1_name = 'Alice'\n",
+    "player2_name = 'bob'\n",
+    "\n",
+    "player1_score = 10\n",
+    "player2_score = 8\n",
+    "\n",
+    "#Scores are difficult to compare\n",
+    "print(player1_name + ': ' + '|' * player1_score)\n",
+    "print(player2_name + ': ' + '|' * player2_score)\n",
+    "\n",
+    "#Assuming name has a maximum of 9 characters\n",
+    "#Now scores are easier to read and compare\n",
+    "print(player1_name + ': ' + \" \" * (9 - len(player1_name)) + '|' * player1_score)\n",
+    "print(player2_name + ': ' + \" \" * (9 - len(player2_name)) + '|' * player2_score)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Extra Practice"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Given the number of seconds, compute the number of hours, minutes, and seconds.\n",
+    "#  e.g. if seconds is 65, the correct output (with \\n in-between) is 0 1 5\n",
+    "#  e.g. if seconds is 192, the correct output (with \\n in-between) is 0 3 12\n",
+    "#  e.g. if seconds is 3739, the correct output (with \\n in-between) is 1 2 19\n",
+    "\n",
+    "seconds = 3739\n",
+    "\n",
+    "# We know we'll have to create 2 more variables, hours and minutes."
+   ]
+  }
+ ],
+ "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": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
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