I use jupyter notebook in an aggressive way. I consider working in Atom when it releases its Linux portable version (at least without installing).
I use `print` and `@show`. But I find the format of `@show` for matrix is not very friendly. And I agree with Tamas. I also program with a very incremental way to avoid bug for large project. I use `winston` to visualize my simulation result, because it's simple and already satisfies my needs. Tom's `Plots.jl` is also a good choice. No for me. I agree with Tamas, one great difficulty of using Julia is to refuse the temptation of over optimizing the code. On Thursday, May 12, 2016 at 7:01:04 PM UTC+2, David Parks wrote: > > I'm a few weeks into Julia and excited and motivated to learn and be as > efficient as possible. I'm sure I'm not alone. I know my way around now, > but am I as efficient as I can be? > > What haven't I tried? What haven't I seen? What haven't I asked? > > For those of you who have been around longer, could you share your advice > on efficient day-to-day development style? > > For example: > > - What IDE do you use? Are you using Atom? A combination of Atom and > the REPL? Something else? > - How do you debug complex code efficiently? How do you debug other > peoples code efficiently? > - Do you have a favorite way of visualizing your work? > - Are there must have tools? packages? utilities? > - Any simple day-to-day efficiency/advice you could share with others > who didn't yet know to ask. > > >
