Oh wow the version switching is super nice.

This project sounds like polars?

I think if Google decided to make TensorFlow and Scikit-Learn commercial, the Python hype will burst.

🤣

I havent used R studio myself since i installed Positron, working with R and Python at the same time is just so easy and somehow i feel like it's faster in response and everything.

If someone uses Visual Studio code that runs almost everything, does he need positron or r-studio?

brilliant!

Now we need R to become more developer friendly, like Julia. BTW, how is it different from VScodium (or Theia) + R extension?

It's worth thinking about the audience for this product. I've been testing it from the viewpoint of a data scientist and, like VS Code, there is a lot going on beyond what I need. I applaud Posit for becoming language agnostic but Positron is very much developer-centric so far. I don't like a workflow that includes dropping into the command line (or Powershell) - this is one thing I think RStudio gets right vs. what Python tools expect from people.

I must admit I'm a little confused by this whole positron thing. Im already using vscode for everything besides R. I'd have much rather they contributed a nice R extension for use with vscode. Tbh, I often use vscode for R also when I'm accessing remote machines and can't be assed installing rstudio server, and I find the setup okay...

what makes this better then VSCode? (or codium what im using)

"the R installation something something" - felt

Been getting into rust and trying to up my game as an R user as well, think I'll try this. Also, can't wait to see what you build in the future

Actually, I do like the R project way of doing stuff...

Amazing tool! But I already use vs code. What are the benefits to move to Positron then?

What is the point of making a clone of vs code? They cant keep up with rstudio developennt, so how are they going to keep up with VS Code development and implement patches. The licence itself is also a big turn off. Posit really fell off.

This is looking pretty awesome, excited to try

I tested the Positron and I like it. Combine Rstudio, Spyder and Vscode in a single IDE.

Are you able to take advantage of apple's gpu with positron? thanks

can't wait to try this, rstudio has been so slow for me lately I am having to build models for Kaggle comps using dataspell that I have to pay out of pocket for.

oh wow i wasn't aware of that. finally r programming coming to the 21st century. the feel of RStudio and the versatility and modernism of VSC combined could be great.

great videos, very informative, just subbed. ps: increase the editor font size.

You do know that the java dudes ended this challenge with less than 2 seconds ? :-) But fair is fair, your code is at least understandable...

Hey thank you for the video. I saw that you also already have the docker instructions in the package website. I'm hoping to run a simple app with plumber in production in the next few weeks. I was going to just use caddy as a load balancer for multiple plumber instances but I think using Valve should provide better functionality out of the box. Thanks again!

That was one of the best video tutorials I've seen lately, super informative and easy to follow! I cannot wait to test this out with some different datasets. Thanks for the amazing work!

Hi, i'm trying to implementing the algorithm in java and following the same steps i got the same results, so i guess i'm reimplementing it correctly. The only problem is, if i try to use any lat/long coordinates for example, my home adddress lat/long, got a geohash that is totally far away from the addres used. In fact if i use some online tool the hash generated is totally different and correct.

super clear ,easy and concise walkthrough. Amazing

I'm curious how this works. Is it loading the whole file into memory before doing the aggregation? Or the query planner smart enough that it knows it only needs to load 1 line at a time (and then handles keeps track of the required aggregations accordingly)

It isn't fair.

There a chance to show us how to do species distribution modelling using Biomod2 or SDM package

Great video, Josiah! For benchmarking, just a fun FYI in case you didn't know, you can do `summary(benchmark_obj, relative = TRUE)` and it will compare the two in relative terms, which is neat!

Wish i knew more R 😅. Looks useful for helping out the R community with rust 🙂

Nice library 🎉.

Clear explanation.

What it boils down to is that R is at its core a fully featured programming language. To some degree it will always be inherently unsafe, as will any other programming language, simply because by nature they have to be in order to function. Much like a good quality knife is also able to cut you as well as your dinner. There are some shenanigans at play here, but it still pales in comparison to the likes of Java's Fracturiser hidden in minecraft mods or malicious executables.

This whole thing seems suspicious to me. A contract threat research company sets out to find a way to exploit R, and then, (Wa-La!) finds it! Then advertises it like crazy! And in the write-up they specifically reference the usage of R in the Pharmaceutical industry, and even links to a talk by R/Pharma. This whole thing feels like a set up. Was HiddenLayer contracted to do this? By who? Very suspicious that a *potential* exploit got as much coverage as way more damaging *actual* exploits.

I emailed Hadley and he said, you don't have to update R to 4.4.0. Someone in reddit said, it is no use to update R if you use RDS/RDA files from unknown source. Also, for a follow up question, is it possible to combine C, FORTRAN, C++ and Rust code together in one package? I tried to combine C++ and Rust but failed to debugged my R package but I know there's a certain package that uses C and C++ together (EBImage as an example).

What is R used for? Like with syntax like that I understand why it is used [That might be the most beautiful code I've ever seen] But for what like what is its practical applications?

I don't get how it is a huge vulnerability. When you download code from the internet it can run code. cmd() or similar is a common resource in nearly every programming language. There is nearly no scripted programming language where a downloaded module couldn't do that. I guess it might better let them obfuscate because it is calling it indirectly? In general you should assume all downloaded code can run anything within userland within the same user on the machine. Launching a calculator is just something code can do. Any module in any programming language could probably delete all your files or send them off to some server.

1:26 I can confirm that note LOL

I'll be sure to never share this with my legal/sec department. They'd freak out at your blatant use of the R-word (whispers 'risk'). On the other hand, I've been able to take away their dread by filling out copious forms in the past so should they be exposed to your scary talk I know what to do. After all, everyone knows killer-bureaucracy is what truly keeps our corporate networks safe

Thanks for the content. As an R user i don't usually think about this but very informative context!

Very interesting!

Very interesting!

I do write plenty of for loops in R, but they're typically in places where either the speed really doesn't matter (e.g. `for (i in vars) ggplot(...)`) or where there's no way to vectorise the body (e.g. in stochastic simulations where there's a load of stuff going on and the loop depends on what happened in the previous loop, and I'm not that good at using `reduce()`). Typically I do what's easiest to read, and usually when something can be vectorised, it's easier to read that way anyway. If I need it to be fast, I have Julia, which says for loops are good actually since all the code is JITted, although Julia makes vectorising code trivial with its dot syntax (e.g. `log.(x)`).

This is so cool!

Thanks for the intuitive tutorial. But I would like to point out that str::len() method counts bytes instead of characters. Non-alphanumerical characters will return inappropriate results, i.e. nchar2("你好世界") (Hello World in Chinese) returns 12 instead of 4. Interestingly, NA values are 2 bytes. One should use str::chars().count() to count at a higher computation cost than str::len().

I'm currently in an R youtube rabbit hole and this one has been an absolute joy. I tip my fedora to your excellent content, good sir

sudo dnf install helix