Data Science. TileDB. Open Source. Quant Research. R. C++. Debian. Linux. Adjunct Clinical Professor, University of Illinois. Lots of coffee. And some running.
See dang::isConnected() which I initially wrote for another package (maybe RPushBullet? Maybe rfoas?). I basically wrap try() around a url() call and catch the error, if any. Only base #rstatsgithub.com/eddelbuettel/dang…
Thanks, and nice to meet you :)
The toml++ library is fabulous, and your documentation wrapper on top of #doxygen is the bee's knees. I now want to TAB search on every API documentation page :)
Not at all. Both pass off the C library calling `open()` on a file given by a char*.
What is in the char* matters. R is a bystander playing by the OSs rules. And some OSs do better than others.
I cannot tell how often I got code or patches with, say `#include "Abc.h"` failing to compile because the file, at my end, would be `abc.h`. It is beyond stoopid, and all Cupertino's fault.
While one _can_ it is not the default, and that is the bug. No excuses, macOS is wrong here and should have known better.
Just how Windows should not have trampled on POSIX behaviour in its core library. Too late now, but we (in aggregate) wasted millions of developer hours.
It's been years since I had the "pleasure" of working on Windows; I had thought case-sensitve behavior was the default. I could be wrong.
Please do be careful about this. It is one *very* easy way to create non-portable code or scripts. Case matters for reproducibility. #rstats
Sorry to possibly bursting your bubble but what you observe is a side-effect of being on an operating system that threats filenames as case-insensitive. Hello macOS.
"Real" operating systems do not do that.
What your tweet celebrates as is more of a bug than a feature. #rstats
'One rule to follow when assessing a technology is that it is no longer “new” once IBM makes a television commercial about it.'
One of many gems in this year's database review by @andy_pavlo (NB: Also holds for other companies making TV commercials)
ottertune.com/blog/2022-data…
You can look at the CRAN Task View on High-Performance Computing, and its references. We wrote a widely-used survey paper about a decade ago, and I updated it more recently. As for packages, most people are happy the the `futureverse` by Henrik. #rstatscran.r-project.org/web/views…
I lost that one fair and square. The older one (in engineering) gets to matlab/python at most, and generally codes little. The younger one (in social-sciences) codes a ton and its all in stata. Didn't we already complain that the world wasn't fair?