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   "source": [
    "**Note**: Click on \"*Kernel*\" > \"*Restart Kernel and Run All*\" in [JupyterLab](https://jupyterlab.readthedocs.io/en/stable/) *after* finishing the exercises to ensure that your solution runs top to bottom *without* any errors. If you cannot run this file on your machine, you may want to open it [in the cloud <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_mb.png\">](https://mybinder.org/v2/gh/webartifex/intro-to-python/main?urlpath=lab/tree/03_conditionals/01_exercises.ipynb)."
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 3: Conditionals & Exceptions (Coding Exercises)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The exercises below assume that you have read [Chapter 3 <img height=\"12\" style=\"display: inline-block\" src=\"../static/link/to_nb.png\">](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/main/03_conditionals/00_content.ipynb).\n",
    "\n",
    "The `...`'s in the code cells indicate where you need to fill in code snippets. The number of `...`'s within a code cell give you a rough idea of how many lines of code are needed to solve the task. You should not need to create any additional code cells for your final solution. However, you may want to use temporary code cells to try out some ideas."
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Discounting Customer Orders"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q1**: Write a function `discounted_price()` that takes the positional arguments `unit_price` (of type `float`) and `quantity` (of type `int`) and implements a discount scheme for a line item in a customer order as follows:\n",
    "\n",
    "- if the unit price is over 100 dollars, grant 10% relative discount\n",
    "- if a customer orders more than 10 items, one in every five items is for free\n",
    "\n",
    "Only one of the two discounts is granted, whichever is better for the customer.\n",
    "\n",
    "The function should then return the overall price for the line item. Do not forget to round appropriately."
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   "execution_count": null,
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    "def discounted_price(unit_price, quantity):\n",
    "    \"\"\"Calculate the price of a line item in an order.\n",
    "\n",
    "    Args:\n",
    "        unit_price (float): price of one ordered item\n",
    "        quantity (int): number of items ordered\n",
    "\n",
    "    Returns:\n",
    "        line_item_price (float)\n",
    "    \"\"\"\n",
    "    ...\n",
    "    ...\n",
    "    ...\n",
    "    ...\n",
    "\n",
    "    ...\n",
    "    ...\n",
    "    ...\n",
    "    ...\n",
    "    ...\n",
    "\n",
    "    return ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q2**: Calculate the final price for the following line items of an order:\n",
    "- $7$ smartphones @ $99.00$ USD\n",
    "- $3$ workstations @ $999.00$ USD\n",
    "- $19$ GPUs @ $879.95$ USD\n",
    "- $14$ Raspberry Pis @ $35.00$ USD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "discounted_price(...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "discounted_price(...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "discounted_price(...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "discounted_price(...)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q3**: Calculate the last two line items with order quantities of $20$ and $15$. What do you observe?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "discounted_price(...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "discounted_price(...)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Q4**: Looking at the `if`-`else`-logic in the function, why do you think the four example line items in **Q2** were chosen as they were?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " < your answer >"
   ]
  }
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