2-basics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# <font color=\"green\">Hello World</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "center",
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"img/java-logo.png\" height=70 width=70 align=\"left\">  \n",
    "## Java "
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "split",
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "split"
   },
   "source": [
    "```java\n",
    "class HelloWorld\n",
    "{\n",
    "    public static void main(String args[])\n",
    "    {\n",
    "        System.out.println(\"Hello World\");\n",
    "    }\n",
    "}```        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"img/cpp-logo.png\" height=70 width=70 align=\"left\">  \n",
    "## C++"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "split",
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "split"
   },
   "source": [
    "```cpp\n",
    "#include<iostream>\n",
    "using namespace std;\n",
    "int main(int argc, char *argv[])\n",
    "{\n",
    "    cout<<\"Hello World\"<<endl;\n",
    "    \n",
    "    return 0;\n",
    "}\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"img/c-logo.png\" height=70 width=70 align=\"left\">  \n",
    "## C "
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "split",
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_style": "split"
   },
   "source": [
    "```c\n",
    "#include<stdio.h>\n",
    "int main(int argc, char *argv[])\n",
    "{\n",
    "    printf(\"Hello World\\n\");\n",
    "    \n",
    "    return 0;\n",
    "}```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<img src=\"img/python-logo.png\" height=70 width=70 align=\"left\">  \n",
    "## Python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "cell_style": "split",
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World\n"
     ]
    }
   ],
   "source": [
    "print('Hello World')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Syntax\n",
    "* No semicolons at the end of statements <font color=\"red\" size=5>;</font>\n",
    "* No braces <font color=\"red\">{ ... }</font>\n",
    "* Indentation (whitespace) is used to define scope, or blocks of code\n",
    "* A block of python code begins with a colon <font color=\"red\" size=5>:</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Comments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World\n"
     ]
    }
   ],
   "source": [
    "# This is a single line comment\n",
    "print('Hello World')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World\n"
     ]
    }
   ],
   "source": [
    "'''This is a multiline string\n",
    "It's as multiline comments\n",
    "or docstrings\n",
    "Python ignores a string which\n",
    "isn't assigned to a variable\n",
    "'''\n",
    "print('Hello World')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Variables\n",
    "\n",
    "### Rules for naming Python variables:\n",
    "- Must start with a letter or an underscore character.\n",
    "- Cannot start with a number.\n",
    "- Can only contain alpha-numeric characters and underscores (A-Z, a-z, 0-9, and _ ).\n",
    "- Case-sensitive (`abc`, `Abc` and `ABC` different variables)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "name = 'Diptangsu Goswami'\n",
    "age = 21\n",
    "height = 182.88  # cm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "- You can't declare variables in Python.\n",
    "- A variable gets created when a value is assigned to it.\n",
    "- Python is a <font color=\"blue\">dynamically typed</font> language."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diptangsu Goswami\n",
      "21\n",
      "182.88\n",
      "\n",
      "Diptangsu Goswami is 21 years old and is 182.88 centimeters tall\n"
     ]
    }
   ],
   "source": [
    "print(name)\n",
    "print(age)\n",
    "print(height)\n",
    "print()\n",
    "print(f'{name} is {age} years old and is {height} centimeters tall')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-10-db21238de55a>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-10-db21238de55a>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    1a = 100\u001b[0m\n\u001b[1;37m     ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "1a = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-11-40b367985cd2>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-11-40b367985cd2>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    name$ = 'dip'\u001b[0m\n\u001b[1;37m        ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "name$ = 'dip'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "x, y, z = 10, 20, 30  # This syntax is called tuple unpacking\n",
    "name, college = 'Diptangsu', 'AOT'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x = 10\n",
      "y = 20\n",
      "z = 30\n",
      "name = Diptangsu\n",
      "college = AOT\n"
     ]
    }
   ],
   "source": [
    "print('x =', x)\n",
    "print('y =', y)\n",
    "print('z =', z)\n",
    "print('name =', name)\n",
    "print('college =', college)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Swapping two values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a = 123\n",
      "b = 456\n"
     ]
    }
   ],
   "source": [
    "a, b = 123, 456\n",
    "print('a =', a)\n",
    "print('b =', b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a = 456\n",
      "b = 123\n"
     ]
    }
   ],
   "source": [
    "t = a\n",
    "a = b\n",
    "b = t\n",
    "print('a =', a)\n",
    "print('b =', b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Swapping two values (in python)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m = 20\n",
      "n = 40\n",
      "\n",
      "Swapping m and n\n",
      "m = 40\n",
      "n = 20\n"
     ]
    }
   ],
   "source": [
    "m, n = 20, 40\n",
    "print('m =', m)\n",
    "print('n =', n)\n",
    "\n",
    "print('\\nSwapping m and n')\n",
    "m, n = n, m  # m, n = 40, 20\n",
    "\n",
    "print('m =', m)\n",
    "print('n =', n)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## A brief overview about what statically and dynamically typed mean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Statically typed\n",
    "- The types of variables are checked at compile time\n",
    "- The programmer must specify the type of every variable\n",
    "\n",
    "\n",
    "- A considerable amount of checks can be performed by the compiler\n",
    "- Reduces trivial bugs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Dynamically typed\n",
    "- The types of variables are deduced during run time\n",
    "- The programmer doesn't have to specify the types of variables\n",
    "\n",
    "\n",
    "- Enables a programmer to write code quicker"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### The types of variables can be changed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Diptangsu Goswami\n",
      "21\n"
     ]
    }
   ],
   "source": [
    "print(name)\n",
    "print(age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "name = 123\n",
    "age = 'Twenty one years'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "123\n",
      "Twenty one years\n"
     ]
    }
   ],
   "source": [
    "print(name)\n",
    "print(age)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Mutiline statements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5\n"
     ]
    }
   ],
   "source": [
    "x = 10 + 20 \\\n",
    "    - 30 + 5\n",
    "\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Multiple statements in the same line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 20\n"
     ]
    }
   ],
   "source": [
    "x = 10; y = 20; print(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Keywords\n",
    "- used to define the syntax and structure of the language\n",
    "- case sensitive\n",
    "- cannot be used as variable names, function names or any other identifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python3 has 35 keywords\n",
      "\n",
      "['False', 'None', 'True', 'and', 'as', 'assert', 'async', 'await', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'nonlocal', 'not', 'or', 'pass', 'raise', 'return', 'try', 'while', 'with', 'yield']\n"
     ]
    }
   ],
   "source": [
    "from keyword import kwlist\n",
    "\n",
    "print(f'Python3 has {len(kwlist)} keywords')\n",
    "print()\n",
    "print(kwlist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and        as         assert     async      await     \n",
      "break      class      continue   def        del       \n",
      "elif       else       except     False      finally   \n",
      "for        from       global     if         import    \n",
      "in         is         lambda     None       nonlocal  \n",
      "not        or         pass       raise      return    \n",
      "True       try        while      with       yield     \n"
     ]
    }
   ],
   "source": [
    "kwlist_sorted = sorted(kwlist, key=lambda s: s.lower())\n",
    "keywords = '\\n'.join(\n",
    "    [\n",
    "        '{:<10} {:<10} {:<10} {:<10} {:<10}'.format(*kwlist_sorted[i:i+5])\n",
    "         for i in range(0, len(kwlist_sorted), 5)\n",
    "    ]\n",
    ")\n",
    "print(keywords)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## User input in Python3\n",
    "\n",
    "#### All input taken from the user is in the form of strings (str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter a value : it can be anything\n"
     ]
    }
   ],
   "source": [
    "value = input('Enter a value : ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'it can be anything'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter a number : 456\n",
      "Enter another number : 415\n"
     ]
    }
   ],
   "source": [
    "a = int(input('Enter a number : '))\n",
    "b = int(input('Enter another number : '))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9251"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a + b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### We will learn more about taking user input in the upcoming tutorials"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Python3 print() function extras"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A `print()` function call will print whatever is passed to it and move the cursor to the next line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000\n",
      "2000\n",
      "foo\n"
     ]
    }
   ],
   "source": [
    "print(1000)\n",
    "print(2000)\n",
    "print('foo')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can pass an optional keyword argument `end` to the `print` function to override this property. This allows us to print something and keep the cursor in the same line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10002000foo\n",
      "bar\n"
     ]
    }
   ],
   "source": [
    "print(1000, end='')\n",
    "print(2000, end='')\n",
    "print('foo')\n",
    "print('bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000#2000@foobar"
     ]
    }
   ],
   "source": [
    "print(1000, end='#')\n",
    "print(2000, end='@')\n",
    "print('foo', end='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "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": [
    "help(print)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### TODO: Add examples of other optional arguments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "![questions.jpg](img/questions.jpg)"
   ]
  }
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