No idea. The base pipe has some limitations. Like not working with the dot operator. So I stick with what works. No need to complicate it by switching without a benefit (and possibly breaking code)

Thanks! I believe it’s one of the dark themes that comes with RStudio

Polars is not on CRAN. You’ll need to install with GitHub.

@@RenatoVargas you got it!

When you join learning labs pro, you get code, data, and replay for this lab. We have 95 data science labs now. university.business-science.io/p/learning-labs-pro

No it’s a library.

@@BusinessScience Well, the library() command loads an R *package* (e.g., the 'polars' package), which must be available in a library (tree) and which may link to (shared/dynamic/static) libraries, as explained in the introduction to the official R documentation "Writing R Extensions": "A package is a directory of files which extend R, a source package (the master files of a package), or a tarball containing the files of a source package, or an installed package, the result of running R CMD INSTALL on a source package. On some platforms (notably macOS and ‘x86_64’ Windows) there are also binary packages, a zip file or tarball containing the files of an installed package which can be unpacked rather than installing from sources. A package is not1 a library. The latter is used in two senses in R documentation. A directory into which packages are installed, e.g. /usr/lib/R/library: in that sense it is sometimes referred to as a library directory or library tree (since the library is a directory which contains packages as directories, which themselves contain directories). That used by the operating system, as a shared, dynamic or static library or (especially on Windows) a DLL, where the second L stands for ‘library’. Installed packages may contain compiled code in what is known on Unix-alikes as a shared object and on Windows as a DLL. The concept of a shared library (dynamic library on macOS) as a collection of compiled code to which a package might link is also used, especially for R itself on some platforms. On most platforms these concepts are interchangeable (shared objects and DLLs can both be loaded into the R process and be linked against), but macOS distinguishes between shared objects (extension .so) and dynamic libraries (extension .dylib)." cran.r-project.org/doc/manuals/R-exts.html

@@BusinessScience to be more precise, a NAMESPACE and a module

Couldn't agree more

This is true.

They missed the opportunity of doing something extremely funny 😭😭😭😭

lol what a missed opportunity 😅

😢😂

I’ll look into it and post another video next week.

Yes you can. I’ll work up some examples next week and post them.

Positron is built on top of VS Code. Practically, it is a version of VS Code customized for Data Science.

If you ever program in R or python in VSCode, it's kinda night and day. Positron feels more like an actual cross-language IDE, while VSCode feels more like its been kludged together after the fact.

Yes, but keep in mind it’s made by Posit (formerly RStudio). They rebranded.

@@BusinessScience Being an R user, I see no advantage for Positron vs Rstudio. Is there any for me?

I use the Jupyter interactive, which does work well. But this has some advantages like the ability to interactively drill into Python objects via the Variables Explorer. The Database Connections tab is great too.

It’s not Jupyter. But you can do Jupyter inside it. Haven’t tried it yet to see advantages or disadvantages. Will do so soon.

It’s great!👍

Yep! Now you get the best of both worlds. 😊🙌

Positron has no ssh support yet.

@@YassineSouilmi It seems Posit team have this feature in mind. Hopefully soon!

@@mugomuiruri2313 thank you!

watching from remote area in africa

If you never plan to do multi-language or use Python at all, then there probably isn't a huge benefit for you to move. Rstudio IDE is designed for people like you who exclusively code in R, and it works really well. But, for me I've been doing a lot more in Python and R lately especially with AI so Positron will be a much lower barrier entry versus VSCode, especially for R users who are used to having everything taken care of with Rstudio (and things just working out of the box). Positron solves that and gives you VSCode Extensions and all the benefits of VSCode from what I can tell.

@@BusinessSciencebut you can use miniconda and use python in your markdown reports (ioslides, pdfs, ppt) so?

You got it! Awesome package!📦 😀

Thank you so much!! 😊

You got it!

Thanks so much!

It’s very cool

You’re welcome ☺️

Can you elaborate? I also noticed that from the programming point of view this is useful material but interpretation of the results and instructions how to use the output is borderline harmful.

@@aaakmm1785 The language and format of this video (especially after PyMC Labs leaves the call) is basically a word-for-word formula made popular in the early 2010's by ClickFunnels, made to make sales through a cringe script and landing page. The "Learn Python With Me" link in the description actually goes to a ClickFunnels landing page It's just an incredibly insulting way to be sold to, and in my opinion destroys the credibility of a creator. A good watch would be "The Contrepreneur Formula Exposed" by Mike Winnett

@@Lykosys You are right. This guy is data science scam. Only goal is to sell class...

I have no idea if this applies to the random forrest or any other ML techniques, but the estimated price elasticity, at least in the linear regression case will be biased. The reason is that price is endogenous. Maybe that is the reason?