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If a C-level executive says, "Posit is not about pivoting from R to Python...", then most likely, it's about pivoting from R to Python.
From Hadley's video blurb, the ringer is when he states "things just work" in the R environment vis-à-vis python (where he tactfully yet implicitly acknowledges the shitshow that is the python library/package/environment management). Kudos to the R community and supporters for providing a great and useful platform!
(Disclosure, I am a Python programmer who has suffered through the trash packaging situation since forever)
Since when has R been in a position to cast shade on the reproducible environment of another language? Anytime I dip my toe into the R ecosystem, it feels anathema to development practices to find anyone using renv or equivalent to try and vendor dependencies. Enormous pain to try to try and get old R code running again.
Earlier quoted context omitted.
> acknowledges the shitshow that is the python library/package/environment management I'm puzzled by this and wonder if you can provide some examples. The scientists I know tend to have incredibly disorganized R code, with a bunch of hard-coded paths and a single global environment in their home directory that all their R packages get installed to. Even stuff that seems critically important like reproducible science…
The SCIENTISTS have very disorganized R code and also on my experience even worse Python code where they learn inheritance and make some absolutely head scratching choices. It makes me weep from time to time. Here's the thing, programming is a skill. If people think it's the "not important thing" only the result (seen this often in some of my previous positions), you're going to get disasters yeah. As for package man…
Right, I get that - but OP was claiming that package management in Python was a "shitshow". It's interesting that a lot of people are responding to my comment by saying "actually you can make package management in R just as easy as in Python, it's just that R programmers tend not to be professionals." Doesn't that just confirm my belief that Python's package management story is actually pretty good?
From Hadley's video blurb, the ringer is when he states "things just work" in the R environment vis-à-vis python (where he tactfully yet implicitly acknowledges the shitshow that is the python library/package/environment management). Kudos to the R community and supporters for providing a great and useful platform!
> acknowledges the shitshow that is the python library/package/environment management I'm puzzled by this and wonder if you can provide some examples. The scientists I know tend to have incredibly disorganized R code, with a bunch of hard-coded paths and a single global environment in their home directory that all their R packages get installed to. Even stuff that seems critically important like reproducible science…
One factor that isn't helping generations younger than mine (mid-50's) is the continual evolution of tools that remove the user from all the underlying parts. I recently worked with someone who told me they "only know Databricks on Azure" and "don't know python." Their self-assessment was accurate, and the utility of that individual was essentially zero.
The problem with python is that people like myself - non-engineers, and mostly end users of software - spend an inordinate amount of time dealing with mismatched library dependencies, deprecated features, rolling-back python versions to get a working kernel and so on.
The fact that the business model of at least two companies (Enthought and Anaconda) is predicated on the difficulty of getting a functioning python environment to work in this day and age speaks volumes about the problem.
If we can't get past "which pip?," how can we expect the other stuff to "just work?"
Earlier quoted context omitted.
Is it? I liked Rmarkdown until I discovered org-mode and org-babel. It does a lot of stuff better like the option to tangle chunks into multiple files which is killer (last time I looked Rmarkdown still lacked that, not sure about Quarto) and the ability to do stuff like make a table in my text and then USE it in R for calculations is amazing for making examples or grabbing some random HTML table off a site and doing…
Agree. Org-babel makes the alternatives look like toys.
If a C-level executive says, "Posit is not about pivoting from R to Python...", then most likely, it's about pivoting from R to Python.
I'd be shocked if they drop R but I'd dance a jig if they can have the Python experience be as good in their IDE. I despise notebooks (i could write an essay), and developing with vs code is still very very clunky in comparison.
If a C-level executive says, "Posit is not about pivoting from R to Python...", then most likely, it's about pivoting from R to Python.
I'd be shocked if they drop R but I'd dance a jig if they can have the Python experience be as good in their IDE. I despise notebooks (i could write an essay), and developing with vs code is still very very clunky in comparison.
From Hadley's video blurb, the ringer is when he states "things just work" in the R environment vis-à-vis python (where he tactfully yet implicitly acknowledges the shitshow that is the python library/package/environment management). Kudos to the R community and supporters for providing a great and useful platform!
Error reading R script (), system error 2 (No such file or directory); Unable to find libR.dylib in expected locationswithin R Home directory /Library/Frameworks/R.framework/Resources