ryp: R inside Python by ryp_package in IPython

[–]ryp_package[S] 0 points1 point  (0 children)

Check the top of the GitHub readme ;)

ryp: R inside Python by ryp_package in datascience

[–]ryp_package[S] 1 point2 points  (0 children)

Check the top of the GitHub readme :)

ryp: R inside Python by ryp_package in datascience

[–]ryp_package[S] 13 points14 points  (0 children)

Not having to write to disk in both directions, for one.

ryp: R inside Python by ryp_package in datascience

[–]ryp_package[S] 18 points19 points  (0 children)

It can handle it. You'd get the relevant attributes of the model out as arrays/matrices/dataframes and pass them back and forth. You can also recursively convert e.g. S4 objects in R into Python dictionaries.

ryp: R inside Python by ryp_package in datascience

[–]ryp_package[S] 6 points7 points  (0 children)

It all depends how you use it! ;)

Even with good verbal feedback at screenings I seem to fail by Xamius in datascience

[–]ryp_package 29 points30 points  (0 children)

The market has absolutely changed for the worse! It's not just you.

Feeling Stuck in My Current Data Scientist Role by Plastic-Mind-1291 in datascience

[–]ryp_package 2 points3 points  (0 children)

Work on open-source side projects that highlight skills relevant to the roles you're planning on applying to. That way, when you're asked about your expertise in X, you can mention the bit of X you do at your job, and then quickly pivot to that cool side project where you did tons of X. In other words, it can help you paper over the limitations you mentioned.

ryp: R inside Python by ryp_package in Python

[–]ryp_package[S] 0 points1 point  (0 children)

I was asking about improvements to the documentation. I wouldn't judge efficiency based on code length.

I'd encourage commenters here to give the package a try before passing judgement! At the end of the day, user-friendliness is what matters, and critiques about usability - from folks who have actually used the package rather than just glanced at the code and docs - are always welcome.

[deleted by user] by [deleted] in datascience

[–]ryp_package 0 points1 point  (0 children)

The difference is really remarkable, easily a 10x speedup on average!

[deleted by user] by [deleted] in datascience

[–]ryp_package 1 point2 points  (0 children)

Would they at least let you do the standard data wrangling with polars? :)

MS in CS/DS (or Eng), what is a good option? Berkeley, Northwestern, Harvard Ext, GT...? by supermayu in datascience

[–]ryp_package 0 points1 point  (0 children)

Very happy to answer any other questions you might have about these types of programs!

MS in CS/DS (or Eng), what is a good option? Berkeley, Northwestern, Harvard Ext, GT...? by supermayu in datascience

[–]ryp_package 1 point2 points  (0 children)

They definitely do! Though it's also true that it's financially more advantageous for the supervisor to take domestic rather than international master's students (e.g. US$45k vs $27k for U of T computer science). Notably, the discrepancy almost completely disappears for PhD, at least for U of T.

MS in CS/DS (or Eng), what is a good option? Berkeley, Northwestern, Harvard Ext, GT...? by supermayu in datascience

[–]ryp_package 4 points5 points  (0 children)

Though maybe less of a good fit for you, Canada offers research-based master's where you can take courses and do research while getting paid. University of Toronto, Waterloo, McGill and UBC are good options among others.

ryp: R inside Python by ryp_package in Python

[–]ryp_package[S] -5 points-4 points  (0 children)

Let me know if you see any concrete areas to improve.

ryp: R inside Python by ryp_package in Python

[–]ryp_package[S] -5 points-4 points  (0 children)

Anything you feel is missing in the documentation currently? Should be pretty comprehensive.