Yes, and the interface is pretty fast and without any noticeable overhead:

julia> data = rand(ComplexF64, 1024^2);

# python fft from julia:

julia> res = @btime np.fft.fft(data);

  78.613 ms (39 allocations: 16.00 MiB)

# python fft in ipython:

In [11]: %timeit res = np.fft.fft(data)

89.3 ms ± 1.65 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)

As expected, julia has its own fft package (based on FFTW):

julia> res = @btime fft(data);

  61.540 ms (33 allocations: 16.00 MiB)