labs/Module-2/1.Basic/07-Sets and Booleans.ipynb

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   "source": [
    "# Set and Booleans\n",
    "\n",
    "There are two other object types in Python that we should quickly cover: Sets and Booleans. \n",
    "\n",
    "## Sets\n",
    "\n",
    "Sets are an unordered collection of *unique* elements. We can construct them by using the set() function. Let's go ahead and make a set to see how it works"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "x = set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# We add to sets with the add() method\n",
    "x.add(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Show\n",
    "x"
   ]
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    "Note the curly brackets. This does not indicate a dictionary! Although you can draw analogies as a set being a dictionary with only keys.\n",
    "\n",
    "We know that a set has only unique entries. So what happens when we try to add something that is already in a set?"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "# Add a different element\n",
    "x.add(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Show\n",
    "x"
   ]
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  {
   "cell_type": "code",
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   "source": [
    "# Try to add the same element\n",
    "x.add(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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    "#Show\n",
    "x"
   ]
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   "cell_type": "markdown",
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   "source": [
    "Notice how it won't place another 1 there. That's because a set is only concerned with unique elements! We can cast a list with multiple repeat elements to a set to get the unique elements. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create a list with repeats\n",
    "list1 = [1,1,2,2,3,4,5,6,1,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cast as set to get unique values\n",
    "set(list1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Booleans\n",
    "\n",
    "Python  comes with Booleans (with predefined True and False displays that are basically just the integers 1 and 0). It also has a placeholder object called None. Let's walk through a few quick examples of Booleans (we will dive deeper into them later in this course)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Set object to be a boolean\n",
    "a = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Show\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also use comparison operators to create booleans. We will go over all the comparison operators later on in the course."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Output is boolean\n",
    "1 > 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use None as a placeholder for an object that we don't want to reassign yet:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# None placeholder\n",
    "b = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Show\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thats it! You should now have a basic understanding of Python objects and data structure types. Next, go ahead and do the assessment test!"
   ]
  },
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