4 ms·

thanks. indeed autotranslation currently only works for small data. fixing it with shared memory and hdf5 is on the agenda for later this year: https://github

by spot 11y ago

thanks. indeed autotranslation currently only works for small data. fixing it with shared memory and hdf5 is on the agenda for later this year: https://github.com/twosigma/beaker-notebook/wiki/Roadmap https://github.com/twosigma/beaker-notebook/wiki/Roadmap I would really like to hear what usability and convenience advantages RStudio has for you...

zmmmmm 11y ago
Reflecting on it, what I think I find most attractive about RStudio is two things: 1) the IDE like environment. Although I do a lot of work "literate document" style, there's a very fluid relationship between the one-off / throw away code that ends up in those documents and the code that ends up becoming reusable. RStudio puts the interactive environment into my hands but gives me tabs with full documents to work with so that I can take those ad hoc bits of code and seamlessly move them into reusable scripts, or even fully structured libraries and program code. Conversely, any piece of code in those scripts or libraries is trivial to throw back into my interactive console to use ad hoc as well. This fluid workflow perfectly matches my development style: starts with experiments to figure out how to do things which is very ad hoc, gradually matures and eventually ends up being a static solid thing that I want to capture as a reusable component. With Beaker and Jupyter I feel like I am always stuck in "throw away code" mode, and there's a high friction to move code between the two paradigms. 2) The plot display seems to work a lot better. With both Beaker and jupyter I find the inline plots are too static - always the wrong size or the wrong shape, etc. In RStudio I can drag and resize that window independently. I feel bad because I'm not telling you solutions and I don't really have any - but these are the things I love about RStudio. Of course, the downside of RStudio is ... R.
- spot 11y ago
  don't feel bad, it's very useful to hear what people need. feedback guides development. so thank you very much. i hear you on 1 -- agreed & some help is on the agenda: https://github.com/twosigma/beaker-notebook/issues/3688 https://github.com/twosigma/beaker-notebook/issues/3688. and then editing regular flat files for inclusion via the backend's native import (even into non-beaker programs). on 2, yes many plotting APIs have that problem. beaker's native plotting library produces a thumb so you can drag to resize: https://pub.beakernotebook.com/#/publications/568ddaed-b648-4a0f-bc31-671c00736052?fullscreen=true https://pub.beakernotebook.com/#/publications/568ddaed-b648-...

by spot 11y ago

zmmmmm 11y ago

Reflecting on it, what I think I find most attractive about RStudio is two things: 1) the IDE like environment. Although I do a lot of work "literate document" style, there's a very fluid relationship between the one-off / throw away code that ends up in those documents and the code that ends up becoming reusable. RStudio puts the interactive environment into my hands but gives me tabs with full documents to work with so that I can take those ad hoc bits of code and seamlessly move them into reusable scripts, or even fully structured libraries and program code. Conversely, any piece of code in those scripts or libraries is trivial to throw back into my interactive console to use ad hoc as well. This fluid workflow perfectly matches my development style: starts with experiments to figure out how to do things which is very ad hoc, gradually matures and eventually ends up being a static solid thing that I want to capture as a reusable component. With Beaker and Jupyter I feel like I am always stuck in "throw away code" mode, and there's a high friction to move code between the two paradigms. 2) The plot display seems to work a lot better. With both Beaker and jupyter I find the inline plots are too static - always the wrong size or the wrong shape, etc. In RStudio I can drag and resize that window independently. I feel bad because I'm not telling you solutions and I don't really have any - but these are the things I love about RStudio. Of course, the downside of RStudio is ... R.

spot 11y ago
don't feel bad, it's very useful to hear what people need. feedback guides development. so thank you very much. i hear you on 1 -- agreed & some help is on the agenda: https://github.com/twosigma/beaker-notebook/issues/3688 https://github.com/twosigma/beaker-notebook/issues/3688. and then editing regular flat files for inclusion via the backend's native import (even into non-beaker programs). on 2, yes many plotting APIs have that problem. beaker's native plotting library produces a thumb so you can drag to resize: https://pub.beakernotebook.com/#/publications/568ddaed-b648-4a0f-bc31-671c00736052?fullscreen=true https://pub.beakernotebook.com/#/publications/568ddaed-b648-...