[julia-users] lowest-latency way to use @manipulate + Plotly to update data?

[Spencer Russell]

Is there any lower-latency way to live-update data in a jupyter notebook than 
this?

```
p = plot(scatter())

@manipulate for phase=0.0:0.01:2pi
    e = sin(linspace(0.0, 2pi, 50)+phase)
    restyle!(p, y=[e])
end

p
```

It’s not too bad, but I’m greedy.

-s