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   "source": [
    "# Exercises\n",
    "\n",
    "This collection of exercises can be done in any order, or even skipped entirely; none of the rest of the tutorial depends on it. Choose the ones that are of interest to you. Sample solutions are provided for all of them.\n",
    "\n",
    "## We do not anticipate that you will have time to complete all of the exercises\n",
    "\n",
    "That is why we provide solutions!"
   ]
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   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import ipywidgets as widgets\n",
    "from ipywidgets import interact, interactive "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## interact/interactive only"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reverse some text\n",
    "\n",
    "Write a function that takes text as an input and reverses the text, and uses `interact` or `interactive` to generate the input field. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load solutions/interact-basic-list/reverse-text.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make a plot\n",
    "\n",
    "Pick a function of interest to you that depends on a couple of parameters and use `interact` to generate controls for the parameters. \n",
    "\n",
    "If you don't have a favorite function, try graphing $f(x) = \\sin(k x + p)$ over the $0 < x < 4\\pi$, with $0.5 \\le k \\le 2$ and $0 \\le p < 2\\pi$.\n",
    "\n",
    "Use either the `interact` function or the `@interact` decorator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load solutions/interact-basic-list/plot-function.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A more extended example of interact\n",
    "\n",
    "A notebook I used in a cosmology course is [here](https://github.com/mwcraig/jupyter-notebook-intro/blob/master/supernova-data.ipynb). It used interact to allow students to fit cosmological models to high redshift supernova data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## interact/interactive and/or other widgets\n",
    "\n",
    "Some of the exercises below might be possible only with interact and interactive."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Choose two widgets and link their values\n",
    "\n",
    "Choose any two widgets from the widget list, link their values using `widgets.jslink`, and display both widgets (the `display` function can take more than one argument).\n",
    "\n",
    "Note: for all widgets except the section widgets below you should link the `value` of the widgets. For the selection widgets, link the `index` instead.\n",
    "\n",
    "Selection widgets:\n",
    "\n",
    "+ `Dropdown`\n",
    "+ `RadioButtons`\n",
    "+ `Select`\n",
    "+ `SelectionSlider`\n",
    "+ `SelectionRangeSlider`\n",
    "+ `ToggleButtons`\n",
    "+ `SelectMultiple`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load solutions/interact-basic-list/sample-linked-widgets.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boxes\n",
    "\n",
    "Create any three widgets, place them in a `VBox`, and display it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# %load solutions/interact-basic-list/widgets-in-a-box.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Blank canvas\n",
    "\n",
    "The cell below is for you to try out antyhing you would like. Be creative!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "source": []
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