Perform the operations listed below on the NumPy array q$1=$ np$.$array$([2,3,5,7,9]).$ All operations should be considered independently. All returned arrays should be of the same size as q$1.$ Use broadcasting and slicing wherever possible $[$Course Objective #$3]$:

a$.$ Triple every value in q$1,$ store the result in the array q$1$a$.$

b$.$ Half every other value in q$1($start from first entry$),$ store in the array q$1$b$.$

c$.$ Reshape q$1$ to $(5,1),$ store in the array $q1c.$

d$.$ Reshape q$1$ to $(1,5),$ store in the array q$1$d$.$

e$.$ Flip the values of q$1$ so they are in the reverse order, store in the array qle.

$*$In Jupyter Lab!$*$