1b - Working with math operators.ipynb

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   "cell_type": "markdown",
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   "source": [
    "For this notebook you are going to do a variety of math operations. It's always best to add libraries at the start of a notebook so that they are available to all the code contained in the notebook. So, before going any further, add the numpy library in the code box, below:"
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    "Great, now that you've added that library, print the first 17 digits of $\\pi$ and the first 8 digits of $e$:"
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   "source": [
    "What is $\\frac{151 + 317}{13}$?"
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   "cell_type": "markdown",
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   "source": [
    "Calculate $\\frac{1}{500}$ - $\\frac{1}{400}$ and $\\frac{1}{500-400}$, and use the print function to show both values"
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  {
   "cell_type": "code",
   "execution_count": null,
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   "cell_type": "markdown",
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   "source": [
    "Calculate $e^{\\pi}$ and $\\pi^{e}$"
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   "cell_type": "code",
   "execution_count": null,
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   "cell_type": "markdown",
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   "source": [
    "Change the box below to be a markdown box, and briefly explain which is larger, $e^{\\pi}$ or $\\pi^{e}$. A good cheatsheet for markdown, to help with formatting, can be found on [github](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)."
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   "cell_type": "code",
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   "source": [
    "A surprisingly common task in programming is to determine if one number is evenly divisible by another number. For example, 21 is divisible by 3, but 22 is not. How might you do this? Think about it, and use the box below to determine if 10,816,835 is evenly divisible by 137."
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   "source": [
    "Calculate the square root of $\\pi$"
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   "source": [
    "Square roots are pretty straightforward because numpy has a built-in function for that. What if you want to calculate a different root? For example, come up with a way to calculate the fifth root of 275, and try it out in the cell below. For what it's worth, I can think of two ways to do this, although one has issues that you may run into."
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   "source": [
    "One problem that will come up with computers has to do with the finite-ness of the numbers that computers can work with. For example, if you solved $e^{2 ln(137)}$ algebraically, you would end up with 18,769. Try that in the cell below and see what happens."
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   "source": [
    "Why do you think that happens?"
   ]
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   "execution_count": null,
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