From a978c9ce871f33f68abf2025cc7ad5f174c60378 Mon Sep 17 00:00:00 2001
From: Andy Kuemmel <kuemmel@wisc.edu>
Date: Tue, 20 Sep 2022 18:22:41 -0500
Subject: [PATCH] Update f22/andy_lec_notes/lec07_Sep21_FunctionScope/readme.md
 Deleted
 f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec07_function_scope_850-checkpoint.ipynb,
 f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_850-checkpoint.ipynb,
 f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_writing_functions_template-checkpoint.ipynb,
 f22/andy_lec_notes/lec_07/lec_07_writing_functions_template.ipynb,
 f22/andy_lec_notes/lec_07/lec07_function_scope_850.ipynb

---
 .../lec07_Sep21_FunctionScope/readme.md       |   6 +
 .../lec07_function_scope_850-checkpoint.ipynb | 115 ---
 .../lec_07_850-checkpoint.ipynb               | 636 ---------------
 ...riting_functions_template-checkpoint.ipynb | 756 ------------------
 .../lec_07/lec07_function_scope_850.ipynb     | 115 ---
 .../lec_07_writing_functions_template.ipynb   | 756 ------------------
 f22/andy_lec_notes/lec_07/readme.md           |   1 -
 7 files changed, 6 insertions(+), 2379 deletions(-)
 create mode 100644 f22/andy_lec_notes/lec07_Sep21_FunctionScope/readme.md
 delete mode 100644 f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec07_function_scope_850-checkpoint.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_850-checkpoint.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_writing_functions_template-checkpoint.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_07/lec07_function_scope_850.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_07/lec_07_writing_functions_template.ipynb
 delete mode 100644 f22/andy_lec_notes/lec_07/readme.md

diff --git a/f22/andy_lec_notes/lec07_Sep21_FunctionScope/readme.md b/f22/andy_lec_notes/lec07_Sep21_FunctionScope/readme.md
new file mode 100644
index 0000000..369a87d
--- /dev/null
+++ b/f22/andy_lec_notes/lec07_Sep21_FunctionScope/readme.md
@@ -0,0 +1,6 @@
+The first part of todays's lecture will be to complete Monday's Notebook file. 
+
+The second part of today's lecture will be done through the Interactive Exercises. 
+
+https://www.msyamkumar.com/cs220/s22/materials/lec-07.html
+
diff --git a/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec07_function_scope_850-checkpoint.ipynb b/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec07_function_scope_850-checkpoint.ipynb
deleted file mode 100644
index e26f4b5..0000000
--- a/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec07_function_scope_850-checkpoint.ipynb
+++ /dev/null
@@ -1,115 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# There was no template file today, we discussed the sides\n",
-    "# and then talked over the Interactive Exercises"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup: Complete Monday's last example \n",
-    "# Takeaways:  \n",
-    "\n",
-    "# functions can call other functions\n",
-    "# a return statement immediately ends the function "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Today's Learning Objectives (see slide)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Slides 1-6"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Find today's interactive exercises on the Course site"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# for each example, \n",
-    "#   show the example in Python tutor\n",
-    "#.  answer a question with your neighbor\n",
-    "#.  annotate the slide, or make a comment to yourself here"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# after exercise 10, look at slide 25"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# after lecture practice:  go to slide 11\n",
-    "# put this slide into Python Tutor\n",
-    "# explain to yourself what is happening\n",
-    "# then read slides 7-10"
-   ]
-  }
- ],
- "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": 4
-}
diff --git a/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_850-checkpoint.ipynb b/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_850-checkpoint.ipynb
deleted file mode 100644
index e4057aa..0000000
--- a/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_850-checkpoint.ipynb
+++ /dev/null
@@ -1,636 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Computer Science Student Organization is hosting a free picnic on Friday for all CS/DS students\n",
-    "\n",
-    "https://today.wisc.edu/events/view/162750"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup: Download the modules cat.py and dog.py \n",
-    "# be sure they are in the same folder as this .ipynb file\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "6.671548843383789\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Review: 1st way to use import\n",
-    "# TODO: on the line below, import the time module\n",
-    "\n",
-    "import time\n",
-    "start_time = time.time()\n",
-    "x = 2**1000000000\n",
-    "end_time = time.time()\n",
-    "print(end_time - start_time) #fill in the print statement"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Review: 2nd way to use import\n",
-    "# TODO: from the math module, just import the function log10()\n",
-    "\n",
-    "from math import log10\n",
-    "\n",
-    "# then, print the log base 10 of 1000\n",
-    "# print(math.log10(1000)) #doesnt work\n",
-    "\n",
-    "print(log10(1000))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.141592653589793\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Warmup: importing with 'wildcard' * is generally considered bad practice\n",
-    "\n",
-    "# from math import * #allows us to use all functions without using math._____\n",
-    "import math\n",
-    "print(math.pi)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### September 22 : Writing Functions\n",
-    "Learning Objectives:\n",
-    "\n",
-    "Explain how to handle namespace collisions when using import.\n",
-    "\n",
-    "Explain the syntax of a function header.\n",
-    "  \n",
-    "Write a function\n",
-    "- with a correct header and indentation.\n",
-    "- with a return value (fruitful function) or without (void function).\n",
-    "- with default parameters.\n",
-    "- knowing the difference in outcomes of print and return statements.\n",
-    "  \n",
-    "Make function calls using positional, default, and keyword arguments and determine the result.\n",
-    "\n",
-    "Use the print function keyword arguments 'sep' and 'end'.\n",
-    "\n"
-   ]
-  },
-  {
-   "attachments": {
-    "kinds%20of%20modules-2.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Importing Modules\n",
-    "![kinds%20of%20modules-2.png](attachment:kinds%20of%20modules-2.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Help on module cat:\n",
-      "\n",
-      "NAME\n",
-      "    cat\n",
-      "\n",
-      "FUNCTIONS\n",
-      "    fetch()\n",
-      "        cats dont fetch\n",
-      "    \n",
-      "    speak()\n",
-      "        the cat says whatever it likes\n",
-      "\n",
-      "FILE\n",
-      "    /Users/andrewkuemmel/cs220-f21/andy_lec_notes/lec_07_Sep22/cat.py\n",
-      "\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Let's practice importing a custom module.\n",
-    "import cat\n",
-    "help(cat)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "No thanks!\n",
-      "Meow!\n",
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "# let's call some of these functions\n",
-    "print(cat.fetch())\n",
-    "print(cat.speak())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Help on module dog:\n",
-      "\n",
-      "NAME\n",
-      "    dog - # write a comment here\n",
-      "\n",
-      "FUNCTIONS\n",
-      "    fetch()\n",
-      "    \n",
-      "    speak()\n",
-      "        this makes the dog bark a LOT\n",
-      "\n",
-      "FILE\n",
-      "    /Users/andrewkuemmel/cs220-f21/andy_lec_notes/lec_07_Sep22/dog.py\n",
-      "\n",
-      "\n",
-      "stick\n",
-      "BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK \n",
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "# now let's try to dog function....you do this on your own\n",
-    "\n",
-    "# import all\n",
-    "import dog\n",
-    "# help\n",
-    "help(dog)\n",
-    "# try each function\n",
-    "print(dog.fetch())\n",
-    "print(dog.speak())"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK \n"
-     ]
-    }
-   ],
-   "source": [
-    "# potential bug:  if we use from cat import speak, from dog import speak\n",
-    "from cat import speak\n",
-    "from dog import speak  \n",
-    "speak()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK BARK \n"
-     ]
-    }
-   ],
-   "source": [
-    "# how can we fix this? \n",
-    "# just use \n",
-    "import cat\n",
-    "import dog\n",
-    "dog.speak()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# key takeway....using import dog, and then calling dog.speak() is safest\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=10\n"
-     ]
-    }
-   ],
-   "source": [
-    "def add3(x,y=100,z=100): # parameters are x, y, z\n",
-    "    \"\"\"adds three numbers\"\"\" #documentation string\n",
-    "    print (\"y=\" + str(y))\n",
-    "    return x+y+z\n",
-    "\n",
-    "sum = add3(100,10,5) #positional arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=2\n",
-      "49\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(add3(4,2,1)**2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=5\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "8"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "add3(x=1, z=2, y=5) #keyword arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=6\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "111"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "add3(5,6)   #using a default argument"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "SyntaxError",
-     "evalue": "positional argument follows keyword argument (<ipython-input-51-7ce80d6c398b>, line 2)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-51-7ce80d6c398b>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m    add3(z=5, 2, 7)\u001b[0m\n\u001b[0m              ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m positional argument follows keyword argument\n"
-     ]
-    }
-   ],
-   "source": [
-    "# incorrect use of arguments in function calls\n",
-    "add3(z=5, 2, 7) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() got multiple values for argument 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-52-6a537f082c51>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# other incorrect uses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() got multiple values for argument 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "# other incorrect uses\n",
-    "add3(5, 3, x=4)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() missing 1 required positional argument: 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-53-f7882f64214a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mz\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() missing 1 required positional argument: 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "add3(y=5,z=10)"
-   ]
-  },
-  {
-   "attachments": {
-    "kinds%20of%20arguments.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![kinds%20of%20arguments.png](attachment:kinds%20of%20arguments.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "18\n",
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "def bad_add(x,y,z): #doesn't return a value...void function\n",
-    "    print (x)\n",
-    "    print(x+y+z)\n",
-    "print(bad_add(3, 5, 10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(bad_add(4,2,1)**2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "50"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "def bad_add2(x,y,z): #multiple returns\n",
-    "    return (x)\n",
-    "    return(x+y+z)\n",
-    "bad_add2(50,60,70)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#approximation program .... not enough time\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Python function summary\n",
-    "https://www.w3schools.com/python/python_functions.asp\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### The print function keyword arguments 'sep' and 'end' "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Help on built-in function print in module builtins:\n",
-      "\n",
-      "print(...)\n",
-      "    print(value, ..., sep=' ', end='\\n', file=sys.stdout, flush=False)\n",
-      "    \n",
-      "    Prints the values to a stream, or to sys.stdout by default.\n",
-      "    Optional keyword arguments:\n",
-      "    file:  a file-like object (stream); defaults to the current sys.stdout.\n",
-      "    sep:   string inserted between values, default a space.\n",
-      "    end:   string appended after the last value, default a newline.\n",
-      "    flush: whether to forcibly flush the stream.\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "# call help on the print function \n",
-    "help(print)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "7\tTrue\t34....7\tTrue\t34....\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(3+4, 3<4, \"3\"+\"4\", sep=\"\\t\", end=\"....\" ) # sep default is \" \"\n",
-    "\n",
-    "print(3+4, 3<4, \"3\"+\"4\", sep=\"\\t\", end=\"....\\n\" ) # end default is \"\\n\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Explain the Interactive Exercises ... see the course website for \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": 4
-}
diff --git a/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_writing_functions_template-checkpoint.ipynb b/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_writing_functions_template-checkpoint.ipynb
deleted file mode 100644
index dee415f..0000000
--- a/f22/andy_lec_notes/lec_07/.ipynb_checkpoints/lec_07_writing_functions_template-checkpoint.ipynb
+++ /dev/null
@@ -1,756 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1643990534.650444\n",
-      "1643990542.573494\n",
-      "0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Warmup 1: 1st way to use import\n",
-    "\n",
-    "# on the line below, import the time module\n",
-    "\n",
-    "\n",
-    "start_time = time.time()\n",
-    "x = 2**1000000000\n",
-    "end_time = time.time()\n",
-    "\n",
-    "#change the line below to compute difference\n",
-    "difference = 0\n",
-    "\n",
-    "# add a separator of '\\n'\n",
-    "print(start_time, end_time, difference) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Warmup 2: 2nd way to use import\n",
-    "# TODO: from the math module, just import the function log10()\n",
-    "\n",
-    "\n",
-    "\n",
-    "# then, print the log base 10 of 1000\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.141592653589793\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Note: importing with 'wildcard' * is generally considered bad practice\n",
-    "from math import *  #allows us to use all functions without writing math._____\n",
-    "print(pi)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup 3: Re-do the cell above, but using the preferred way\n",
-    "\n",
-    "# import ?????\n",
-    "# print(???)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "attachments": {
-    "kinds%20of%20modules-2.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Importing Modules\n",
-    "![kinds%20of%20modules-2.png](attachment:kinds%20of%20modules-2.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# February 7: Writing Functions\n",
-    "### Learning Objectives:\n",
-    "\n",
-    "- Explain the syntax of a function header.\n",
-    "-Write a function\n",
-    " - with a correct header and indentation.\n",
-    " - with a return value (fruitful function) or without (void function).\n",
-    " - with default parameters.\n",
-    " - knowing the difference in outcomes of print and return statements.\n",
-    "- Make function calls using positional, default, and keyword arguments and determine the result.\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Explain the syntax of a function header"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# see slides"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Write a function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 1:  write a function that cubes any number\n",
-    "\n",
-    "def cube(side):\n",
-    "    pass\n",
-    "\n",
-    "# the first line is called the header\n",
-    "# notice that all the other lines are indented the same amount (4 spaces)\n",
-    "# best practice in Jupyter Notebook is to press tab\n",
-    "# if you don't run the cell Jupyter Notebook won't know about the function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "125\n",
-      "37\n",
-      "512\n"
-     ]
-    }
-   ],
-   "source": [
-    "# calling a function\n",
-    "print(cube(5))\n",
-    "print(cube(4) + cube(-3))\n",
-    "print(cube(cube(2)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# up above, change return to print(),  \n",
-    "\n",
-    "# then re-run the cell calling a function\n",
-    "\n",
-    "# Explain what goes wrong in those function calls in the above cell\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 2:  Write a function that determines if one number is between two other numbers\n",
-    "# return a boolean ... True or False\n",
-    "def is_between(lower, num, upper):\n",
-    "    pass\n",
-    "\n",
-    "# you can call a function in the same cell that you defined it\n",
-    "print(is_between(3, 7, 21))\n",
-    "print(is_between(2, 14, 5))\n",
-    "print(is_between(100,  cube(5), 200))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 3: write a function get_grid that works like this:\n",
-    "# get_grid(5, 3, \"@\") returns the string \n",
-    "# @@@@@\n",
-    "# @@@@@\n",
-    "# @@@@@\n",
-    "\n",
-    "# Let's practice Incremental Coding\n",
-    "# first, try to do this with string operators and literals\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# then, try to do this with variables"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# now, try to write a function \n",
-    "# think about what we should name the parameters\n",
-    "\n",
-    "def get_grid1(width, height, symb):\n",
-    "    pass\n",
-    "\n",
-    "print(get_grid(3, 5, \"*\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# test again"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Finally, add in a parameter for a title that appears above the grid\n",
-    "def get_grid2(width, height, symp, title):\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Make function calls using positional, default, and keyword arguments and determine the result."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# view the slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=10\n"
-     ]
-    }
-   ],
-   "source": [
-    "def add3(x,y=100,z=100): # parameters are x, y, z\n",
-    "    \"\"\"adds three numbers\"\"\" #documentation string\n",
-    "    print (\"y=\" + str(y))\n",
-    "    return x+y+z\n",
-    "\n",
-    "sum = add3(100,10,5) #positional arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=2\n",
-      "49\n"
-     ]
-    }
-   ],
-   "source": [
-    "#print(add3(4,2,1)**2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#print(add3(x=1, z=2, y=5)) #keyword arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#add3(5,6)   #using a default argument"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# incorrect use of arguments in function calls\n",
-    "# add3(z=5, 2, 7) \n",
-    "\n",
-    "# Explain why: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() got multiple values for argument 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-52-6a537f082c51>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# other incorrect uses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() got multiple values for argument 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "# other incorrect uses\n",
-    "# add3(5, 3, x=4)\n",
-    "\n",
-    "# Explain why: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() missing 1 required positional argument: 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-53-f7882f64214a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mz\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() missing 1 required positional argument: 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "# also incorrect\n",
-    "# add3(y=5,z=10)\n",
-    "# Explain why"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() missing 1 required positional argument: 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m-------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m       Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-19-a0655df593d7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() missing 1 required positional argument: 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "# also incorrect\n",
-    "# add3()\n",
-    "# Explain why"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=100\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "203"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# works\n",
-    "add3(3)\n",
-    "# Explain why"
-   ]
-  },
-  {
-   "attachments": {
-    "kinds%20of%20arguments.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![kinds%20of%20arguments.png](attachment:kinds%20of%20arguments.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# TODO:  Go back to the get_grid function and add in default arguments\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# make several calls to get_grid using positional, keyword, and default arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What are the default arguments for print? \n",
-    "# help(print)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Predict the output, then uncomment and run \n",
-    "# print(3+4, 3<4, \"3\"+\"4\",  end=\"....\" )     # sep default is \" \"\n",
-    "\n",
-    "# print(3+4, 3<4, \"3\"+\"4\", sep=\"\\t\" )        # end default is \"\\n\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Know the difference in outcomes of print and return statements."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "18\n",
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "def bad_add(x,y,z): #doesn't return a value...void function\n",
-    "    print (x)\n",
-    "    print(x+y+z)\n",
-    "print(bad_add(3, 5, 10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(bad_add(4,2,1)**2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "50"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# a function ends as soon as it encounters a return\n",
-    "def bad_add2(x,y,z): \n",
-    "    return x\n",
-    "    return x+y+z\n",
-    "bad_add2(50,60,70)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Explain the Worksheet, start part one of each problem\n",
-    "# this worksheet has questions that will be on your exam\n"
-   ]
-  },
-  {
-   "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": 4
-}
diff --git a/f22/andy_lec_notes/lec_07/lec07_function_scope_850.ipynb b/f22/andy_lec_notes/lec_07/lec07_function_scope_850.ipynb
deleted file mode 100644
index a2bcc57..0000000
--- a/f22/andy_lec_notes/lec_07/lec07_function_scope_850.ipynb
+++ /dev/null
@@ -1,115 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# There was no template file today, we discussed the sides\n",
-    "# and then talked over the Interactive Exercises"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup: Complete Monday's last example \n",
-    "# Takeaways:  \n",
-    "\n",
-    "# functions can call other functions\n",
-    "# a return statement immediately ends the function "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Today's Learning Objectives (see slide)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Slides 1-6"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Find today's interactive exercises on the Course site"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# for each example, \n",
-    "#   show the example in Python tutor\n",
-    "#.  answer a question with your neighbor\n",
-    "#.  annotate the slide, or make a comment to yourself here"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# after exercise 10, look at slide 25"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# after lecture practice:  go to slide 11\n",
-    "# put this slide into Python Tutor\n",
-    "# explain to yourself what is happening\n",
-    "# then read slides 7-10"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "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": "3.9.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/f22/andy_lec_notes/lec_07/lec_07_writing_functions_template.ipynb b/f22/andy_lec_notes/lec_07/lec_07_writing_functions_template.ipynb
deleted file mode 100644
index dee415f..0000000
--- a/f22/andy_lec_notes/lec_07/lec_07_writing_functions_template.ipynb
+++ /dev/null
@@ -1,756 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1643990534.650444\n",
-      "1643990542.573494\n",
-      "0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Warmup 1: 1st way to use import\n",
-    "\n",
-    "# on the line below, import the time module\n",
-    "\n",
-    "\n",
-    "start_time = time.time()\n",
-    "x = 2**1000000000\n",
-    "end_time = time.time()\n",
-    "\n",
-    "#change the line below to compute difference\n",
-    "difference = 0\n",
-    "\n",
-    "# add a separator of '\\n'\n",
-    "print(start_time, end_time, difference) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Warmup 2: 2nd way to use import\n",
-    "# TODO: from the math module, just import the function log10()\n",
-    "\n",
-    "\n",
-    "\n",
-    "# then, print the log base 10 of 1000\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3.141592653589793\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Note: importing with 'wildcard' * is generally considered bad practice\n",
-    "from math import *  #allows us to use all functions without writing math._____\n",
-    "print(pi)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Warmup 3: Re-do the cell above, but using the preferred way\n",
-    "\n",
-    "# import ?????\n",
-    "# print(???)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "attachments": {
-    "kinds%20of%20modules-2.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Importing Modules\n",
-    "![kinds%20of%20modules-2.png](attachment:kinds%20of%20modules-2.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# February 7: Writing Functions\n",
-    "### Learning Objectives:\n",
-    "\n",
-    "- Explain the syntax of a function header.\n",
-    "-Write a function\n",
-    " - with a correct header and indentation.\n",
-    " - with a return value (fruitful function) or without (void function).\n",
-    " - with default parameters.\n",
-    " - knowing the difference in outcomes of print and return statements.\n",
-    "- Make function calls using positional, default, and keyword arguments and determine the result.\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Explain the syntax of a function header"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# see slides"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Write a function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 1:  write a function that cubes any number\n",
-    "\n",
-    "def cube(side):\n",
-    "    pass\n",
-    "\n",
-    "# the first line is called the header\n",
-    "# notice that all the other lines are indented the same amount (4 spaces)\n",
-    "# best practice in Jupyter Notebook is to press tab\n",
-    "# if you don't run the cell Jupyter Notebook won't know about the function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "125\n",
-      "37\n",
-      "512\n"
-     ]
-    }
-   ],
-   "source": [
-    "# calling a function\n",
-    "print(cube(5))\n",
-    "print(cube(4) + cube(-3))\n",
-    "print(cube(cube(2)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# up above, change return to print(),  \n",
-    "\n",
-    "# then re-run the cell calling a function\n",
-    "\n",
-    "# Explain what goes wrong in those function calls in the above cell\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "True\n",
-      "False\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Example 2:  Write a function that determines if one number is between two other numbers\n",
-    "# return a boolean ... True or False\n",
-    "def is_between(lower, num, upper):\n",
-    "    pass\n",
-    "\n",
-    "# you can call a function in the same cell that you defined it\n",
-    "print(is_between(3, 7, 21))\n",
-    "print(is_between(2, 14, 5))\n",
-    "print(is_between(100,  cube(5), 200))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Example 3: write a function get_grid that works like this:\n",
-    "# get_grid(5, 3, \"@\") returns the string \n",
-    "# @@@@@\n",
-    "# @@@@@\n",
-    "# @@@@@\n",
-    "\n",
-    "# Let's practice Incremental Coding\n",
-    "# first, try to do this with string operators and literals\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# then, try to do this with variables"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# now, try to write a function \n",
-    "# think about what we should name the parameters\n",
-    "\n",
-    "def get_grid1(width, height, symb):\n",
-    "    pass\n",
-    "\n",
-    "print(get_grid(3, 5, \"*\"))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# test again"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Finally, add in a parameter for a title that appears above the grid\n",
-    "def get_grid2(width, height, symp, title):\n",
-    "    pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Make function calls using positional, default, and keyword arguments and determine the result."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# view the slides"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=10\n"
-     ]
-    }
-   ],
-   "source": [
-    "def add3(x,y=100,z=100): # parameters are x, y, z\n",
-    "    \"\"\"adds three numbers\"\"\" #documentation string\n",
-    "    print (\"y=\" + str(y))\n",
-    "    return x+y+z\n",
-    "\n",
-    "sum = add3(100,10,5) #positional arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=2\n",
-      "49\n"
-     ]
-    }
-   ],
-   "source": [
-    "#print(add3(4,2,1)**2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#print(add3(x=1, z=2, y=5)) #keyword arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#add3(5,6)   #using a default argument"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# incorrect use of arguments in function calls\n",
-    "# add3(z=5, 2, 7) \n",
-    "\n",
-    "# Explain why: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() got multiple values for argument 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-52-6a537f082c51>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# other incorrect uses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() got multiple values for argument 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "# other incorrect uses\n",
-    "# add3(5, 3, x=4)\n",
-    "\n",
-    "# Explain why: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() missing 1 required positional argument: 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-53-f7882f64214a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mz\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() missing 1 required positional argument: 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "# also incorrect\n",
-    "# add3(y=5,z=10)\n",
-    "# Explain why"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "add3() missing 1 required positional argument: 'x'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m-------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m       Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-19-a0655df593d7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0madd3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m: add3() missing 1 required positional argument: 'x'"
-     ]
-    }
-   ],
-   "source": [
-    "# also incorrect\n",
-    "# add3()\n",
-    "# Explain why"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "y=100\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "203"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# works\n",
-    "add3(3)\n",
-    "# Explain why"
-   ]
-  },
-  {
-   "attachments": {
-    "kinds%20of%20arguments.png": {
-     "image/png": 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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![kinds%20of%20arguments.png](attachment:kinds%20of%20arguments.png)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# TODO:  Go back to the get_grid function and add in default arguments\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# make several calls to get_grid using positional, keyword, and default arguments"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# What are the default arguments for print? \n",
-    "# help(print)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Predict the output, then uncomment and run \n",
-    "# print(3+4, 3<4, \"3\"+\"4\",  end=\"....\" )     # sep default is \" \"\n",
-    "\n",
-    "# print(3+4, 3<4, \"3\"+\"4\", sep=\"\\t\" )        # end default is \"\\n\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Know the difference in outcomes of print and return statements."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "3\n",
-      "18\n",
-      "None\n"
-     ]
-    }
-   ],
-   "source": [
-    "def bad_add(x,y,z): #doesn't return a value...void function\n",
-    "    print (x)\n",
-    "    print(x+y+z)\n",
-    "print(bad_add(3, 5, 10))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(bad_add(4,2,1)**2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "50"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# a function ends as soon as it encounters a return\n",
-    "def bad_add2(x,y,z): \n",
-    "    return x\n",
-    "    return x+y+z\n",
-    "bad_add2(50,60,70)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Explain the Worksheet, start part one of each problem\n",
-    "# this worksheet has questions that will be on your exam\n"
-   ]
-  },
-  {
-   "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": 4
-}
diff --git a/f22/andy_lec_notes/lec_07/readme.md b/f22/andy_lec_notes/lec_07/readme.md
deleted file mode 100644
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-Please download all files (besides this one) to your directory for lecture notes.
-- 
GitLab