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    "# Chapter Exercise\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3411f984",
   "metadata": {},
   "source": [
    "Apply the key ideas from this chapter in the connected task below. Work in your own notebook or local project. Keep your implementation, reasoning, and verification results together.\n"
   ]
  },
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   "id": "0a1dd818",
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   "source": [
    "## Compute with arrays\n",
    "\n",
    "1. Use an array from a real dataset already supplied in the book and state its dtype, shape, and what each axis means.\n",
    "\n",
    "2. Select a subset and compute a vectorized result with ufuncs and a deliberate broadcasting operation. Explain the compatible shapes before executing it.\n",
    "\n",
    "3. Compare a small result with a hand calculation. Use the chapter's seeded random-generation approach for a separate simulation and label it simulated, explaining reproducibility and how it differs from observed data.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e63015a9",
   "metadata": {},
   "source": [
    "Return to the chapter lessons as needed: [Arrays Basics](0301-np-basics.ipynb), [Array Computation](0302-np-ufuncs.ipynb), [Random Number Generation](0303-np-random.ipynb).\n"
   ]
  }
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