450_Welcome_to_OOP.ipynb

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    "# Object Oriented Programming\n",
    "\n",
    "Object Oriented Programming (OOP) is a different way of thinking about code. It seems hard at first, but it's really just a way to group similar variables and functions together. When this happens it's called an \"object\". And in Python, objects can be created with the `class` keyword. \n",
    "\n",
    "**Remember:** OOP is just way to group similar variables and functions together. "
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    "name = \"Python\""
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      "Python\n",
      "<class 'str'>\n"
     ]
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   "source": [
    "print(name)\n",
    "print(type(name))"
   ]
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   "source": [
    "> **Note:** Notice how this is a <`class` 'str'> (`class` means it's an object)"
   ]
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    "name.upper() "
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   "source": [
    "del name"
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   "source": [
    "> **Note:** We can delete variables with the `del` keyword. You can also delete dictionary items with `del your_dict['the_key']` "
   ]
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   "source": [
    "## Welcome to Classes"
   ]
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   "source": [
    "class MyClassName:\n",
    "    \n",
    "    def __init__(self, name=\"Person\", hobby=\"Coding\"):\n",
    "        self.name = name\n",
    "        self.hobby = hobby\n",
    "        print(name)\n",
    "        print(hobby)\n",
    "    \n",
    "    def say_hello(self):\n",
    "        print(\"Hello\")\n",
    "        \n",
    "    def get_name(self):\n",
    "        print(self.name)"
   ]
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   "cell_type": "code",
   "execution_count": 26,
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   "outputs": [
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     "text": [
      "Henry\n",
      "Being adorbs\n"
     ]
    }
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   "source": [
    "person = MyClassName(name=\"Henry\", hobby=\"Being adorbs\")"
   ]
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     "data": {
      "text/plain": [
       "__main__.MyClassName"
      ]
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   "source": [
    "type(person)"
   ]
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   "cell_type": "code",
   "execution_count": 28,
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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Hello\n"
     ]
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   "source": [
    "person.say_hello() "
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   "source": [
    "> **Note:** Functions inside of a class are called \"methods\". They are executed using the `.func_name()` syntax instead of using the `func_name(\"do something\")` syntax we're used to seeing."
   ]
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   "cell_type": "code",
   "execution_count": 29,
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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Henry\n"
     ]
    }
   ],
   "source": [
    "person.get_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Henry'"
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     "execution_count": 30,
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   "source": [
    "person.name"
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   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": [
       "'Being adorbs'"
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     "execution_count": 31,
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   "source": [
    "person.hobby"
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   "source": [
    "> **Note:** Notice there is no `()` at the end of `.hobby` and `.name`? That's because these are internal class variables known as attributes (or properties). The `()` tells Python to execute a function or method. Here we asked Python to return the attribute value (like printing a variable)"
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  }
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