Q$1$:$$Update the data type of$$img$$to$$float$64$and call it$$Q$1.$

Q$2$:$$Multiply each element in the$$Q$1$array by $10$ and call this new array$$Q$2.$

Q$3$:

Create a NumPy array called$$arr$$of the following five values: $32,54,67,88,4$

Use the NumPy's sum method to add all the values together and store as a variable called$$total$.$ Do not hard code the answer by manually adding the numbers in your head. Use NumPy functions or you may be counted off during a review of the assignment.$$

Add this total to every element of the$$Q$2$array and call this new array$$Q$3.$

Q$4$:Add the $`$Q$3`$ array to itself $($example: array $+$ array$)$ and call it $`$Q$4`.$ This will add the corresponding values in each cell to each other.

Q$5$:$$Subtract $1$ from the first item in the$$Q$4$array$,2$ from the $2$nd item, $3$ from the $3$rd item...n from the nth$$item and call the new array$$Q$5.$ You should$$not$$do this using any type of loop as that wouldn't be efficient. Hint: Think about creating a second array that could be used in combination with the first array to complete the task.

Q$6$:$$Copy the$$Q$5$array and call the new array$$Q$6($this step makes sure that we are working with a copy instead of a view of the previous array$).$ Update the $4$th element in the$$Q$6$array to$46225.$Careful: Remember that Python is zero based index.

Q$7$:$$Copy the$$Q$6$array and call the new array$$Q$7.$ Select the indices from$1,000$to$200,000($including the element in the$200,000$index$)$ and the indices from$400,000$to$600,000($including the element in the$600,000$index$)$ in$$Q$7$and add$255$to only those values.

Hint:$$Remember that you can do this in two steps:

Step $1)$ Update the first set of indices

Step $2)$ Update the second set of indices.

Also remember that Python is zero based index.

As an example, if I wanted to add$10$to the values in the indices from$100$to$110($including the element in the$110$index$)$ I could write my code as follows:

Q$8$:$$Copy the$$Q$7$array and call the new array$$Q$8.$ Reshape the$$Q$8$array to a two$-$dimensional, two$-$column array.

Q$9$:$$Copy the$$Q$8$array and call the new array$$Q$9.$ Swap the two columns from this$$Q$9$array$.$ In other words, the first column will now be the second and the second column will now be the first.

Q$10$:$$Copy the$$Q$9$array and call the new array$$Q$10.$ Reverse the order of the rows of the$$Q$10$array$.$

Q$11$:$$Copy the$$Q$10$array and call it$$Q$11.$ Set$$Q$11\text{'}$s $101$st row as$[46225,353].$Careful: Remember that Python is zero based index

Q$12$:$$Copy the$$Q$11$array and call it$$Q$12.$ Set the$$first element$$in$$Q$12\text{'}$s$100,001$st row to$46656.$ The second element in that row should remain unchanged.$$Careful: Remember that Python is zero based index

Q$13$:$$Copy the$$Q$12$array and call it$$Q$13.$ Subtract $125$ from every element in the$$second column$$for$$Q$13.$

Q$14$:$$Copy the$$Q$13$array and call it$$Q$14.$ Take the square root of every element in the$$first column$$of$$Q$14.$

Q$15$:$$Copy the$$Q$14$array and call it$$Q$15.$ Change any value in the$$Q$15$array that is currently $999$ and set it to $117.$

Q$16$:

Copy the$$Q$15$array and call it$$Q$16.$

Take the transpose of the$$Q$16$array$.$

Subtract $125$ from the first column of all rows.

Take the transpose of the array again $($this puts it back in its original state$)$ making sure that all the changes are saved as$$Q$16.$

Q$17$:$$Copy the$$Q$16$array and call it$$Q$17.$ Reshape the$$Q$17$array to $(423,640,3).$ Note: the $3$ values in each row are the RGB values for every pixel of the picture.

Q$18$: Copy the $`$Q$17`$ array and call it $`$Q$18`.$ Cast the entire $`$Q$18`$ array as an $`$int$`.$

Q$19$:$$Run the code below to plot your array below.

Q$20$:$$Create a variable called$$Q$20$that is a string of the phrase in the picture $($include punctuation but not the name of the author$).$ You can of course hard code this string.