NumPy operators and their corresponding NumPy universal functions (ufuncs)
This table was compiled from the 3 tables shown on pages 53, 72, 75 of the book Python Data Science Handbook by Jake VanderPlas. I put it here just for my own reference.
Arithmetic Operator 
Equivalent ufunc 
Description 
+ 
np.add 
Addition (e.g., 1 + 1 = 2) 
 
np.subtract 
Subtraction (e.g., 3  2 = 1) 
 
np.negative 
Unary negation (e.g., 2) 
* 
np.multiply 
Multiplication (e.g., 2 * 3 =
6) 
/ 
np.divide 
Division (e.g., 3 / 2 = 1.5) 
// 
np.floor_divide 
Floor division (e.g., 3 // 2 =
1) 
** 
np.power 
Exponentiation (e.g., 2 ** 3 =
8) 
% 
np.mod 
Modulus/remainder (e.g., 9 % 4
= 1) 



Comparison Operator 
Equivalent ufunc 

== 
np.equal 

!= 
np.not_equal 

< 
np.less 

<= 
np.less_equal 

> 
np.greater 

>= 
np.greater_equal 




Logical Operator 
Equivalent ufunc 
See also 
& 
np.bitwise_and 
np.logical_and 
 
np.bitwise_or 
np.logical_or 
^ 
np.bitwise_xor 
np.logical_xor 
~ 
np.bitwise_not 
np.logical_not 