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   "source": [
    "# 2. Images as arrays exercises"
   ]
  },
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   "source": [
    "1. Import Numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Create a 6 rows, 4 columns array of 1s called ```my_array```. Using the ```shape``` parameter make sure the size is correct."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Modify the element at row = 3, column = 1 to be 50"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "4. Modify the array by multiplying all its values by 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5. Using Google, find the Numpy function to take the square root and create a new array called ```my_array_root``` by applying it to your current ```my_array```."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6. Create a new array called ```my_array_sum``` by multiplying ```my_array``` and ```my_array_root```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "7. Find the maximum value of your array by using either a methods or a function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "8. Create a boolean array where only places in ```my_array_sum``` which are larger than 100 are ```True```."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "9. Recover all the values in ```my_array_sum``` which are true in the boolean array using logical indexing. What is the shape of the array containing these values?"
   ]
  },
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