Kyle Husmann
Kyle Husmann
Proposed by @Ylianst here: https://github.com/khusmann/benlink/issues/6#issuecomment-2626275707 This would be pretty easy to do with the current architecture: - create a new.TcpCommandLink for tcp connections - add RadioController.new_tcp, RadioConnection.new_tcp - create a...
Right now RFCOMM channels have to be manually specified when making RFCOMM connections; SDP service discovery is not supported. Service discovery would be easy to implement using [pybluez](https://github.com/pybluez/pybluez), but it...
#### Problem Description When running pdoc in autoreload/preview mode, I was having trouble getting local logo images to work: ``` pdoc my_module --logo logo.png ``` Where logo.png is a file...
#### Problem Description Thanks for this library! Hopefully this is an easy one: Forward references inside NamedTuples do not get resolved and result in a warning #### Steps to reproduce...
One more quick FR that I think is key for adoption for folks in my field! I want to be able to connect my Qualtrics / RedCAP and Google Forms...
Hello! I had a great chat with @romicolman today and she encouraged me to write some quick paragraphs describing features that would help it see adoption by me (and others...
## Summary When using `facet_wrap()` with `scales = "free_x"`, the middle facets rows appear squished. ## MWE This bug is most apparent when working in Shiny contexts: ```r library(ggplot2) library(shiny)...
A big bottleneck for large dataframes in reactable is JSON conversion. Simply by switching to a faster JSON conversion package you get a massive speedup. ```r library(reactable) library(tibble) df
Hello, thanks for this awesome package! I'm doing a lot of work with list-cols and struct-cols with custom `cell` and `aggregate` render functions. It's all working great, except when I...
It looks like this is a leftover workaround in tibble from RStudio 1.1: https://github.com/tidyverse/tibble/blob/490cd3774e32fee08cdb73e79c46488b11ee843e/R/tbl_df.R#L81 This results in significantly different behavior when running inside vs outside RStudio. Example: ```{r} tibble::tibble(x =...