Understanding python & numpy syntax to mask and filter array

Question

Please help me understand how the lines below are working.

1. How does a pair of parentheses create an array and then individual elements go through logical condition check and create a new array?

2. How does condition in square brackets filter elements create another sub-array?

   import numpy as np
   my_vector=np.array([-17, 4, 0, 2, 21, 37, 105]) 
   
                       array([-17,   4,   0,   2,  21,  37, 105]) 
   
   zero_mod_7_mask= 0 == (my_vector % 7) #question 1 
   
                       array([False, False,  True, False,  True, False,  True])
   
   my_subarray = my_vector[zero_mod_7_mask] # question 2
   
                       array([  0,  21, 105])
   

Answer 1

1. The parentheses do nothing but ensure that what's inside of them is done first

2. The array just keeps the True elements