Subsetting NumPy Arrays

You've seen it with your own eyes: Python lists and numpy arrays sometimes behave differently. Luckily, there are still certainties in this world. For example, subsetting $($using the square bracket notation on lists or arrays$)$ works exactly the same. To see this for yourself, try the following lines of code in the IPython Shell:

x $=["$a$","$b$","$c$"]$

x$[1]$

np$\_$x $=$ np$.$array$($x$)$

np$\_$x$[1]$

The script in the editor already contains code that imports numpy as np$,$ and stores both the height and weight of the MLB players as numpy arrays. height$\_$in and weight$\_$lb are available as regular lists.

Instructions

$100$ XP

Subset np$\_$weight$\_$lb by printing out the element at index $50.$

Print out a sub$-$array of np$\_$height$\_$in that contains the elements at index $100$ up to and including index $110.$