Re: [O] babel and long-running computations

[Christoph Groth]

Hi Julian,

> Generally, org-babel is suited for long running computations.  Its
> caching can help you avoid rerunning code chunks.  And long runtime does
> not conflict with the idea of reproducible research, it just may be not
> very comfortable for the user.

I agree of course that it’s generally a good idea to structure the
analysis in small logical steps and to save intermediate results.  Let
me narrow down my question then: does org-babel support working with
tasks that take several minutes to execute?  By this I mean (most
important first):

- Not freezing the editor during the execution of a task
- Being able to execute multiple independent tasks in parallel
- Being able to interrupt a running task
- Being able to inspect the incomplete output of a running task

I’d love to hear about any frameworks or workflows that fulfill these
requirements.

Cheers

Christoph


PS.

I’m using ipython notebooks but I’m not happy with them because of the
freezing problem and the complete lack of isolation of tasks within a
single notebook (they live in a common mutable namespace).  I think a
useful framework must be “functional” at the highest level for caching
and dependencies to be useful.