How do we represent the Python/numpy function "zeros_like" in Julia language

Question

I am a bit new to Julia but I have some knowledge in Python. I am now learning Julia and I want to know how to represent the Python function "zeros_like" from Numpy in Julia. The python code is below:

import numpy as np
a = [3] #vector of one number
b = np.zeros_like(a)

Answer 1

Base.zero function returns the zero element (the "additive identity element" in the doc) for the type of its input argument:

julia> a = [3]
1-element Array{Int64,1}:
 3

julia> zero(a)
1-element Array{Int64,1}:
 0

or

julia> zeros(Int, size(a))
1-element Array{Int64,1}:
 0