But tidy or not, Data is always pipe able

Found it!!

There is a professional ski athlete, Canadian I think, called Nullmeyer, I always think of “little bobby tables” when I see her, but seems like ski tv and databases were made by people that sanitize the inputs

Two extra monitor setups. My slim book has 3 usb a, 1 USB c and 1 HDMI. With the USB c and the HDMI I have two monitors in my office setup and is super nice. I understand that for common devices is preferable USB a but for video, it saves a lot of physical space compared to VGA or HDMI in a small laptop

Best 8 years I ever had

R

I know is not considered a “proper” programming language by some, but I’ve been working with it for years for scientific data analysis and I love it

It is a glass table we have on the terrace, a little dirty because it has been too windy these days.

Art.e shop in Sofia, Bulgaria. I bought it like a year ago on a trip I made there. They don’t seem to have web but they have a Facebook page.

If the focus is in data and analysis I would recommend the exercises in the R for Data Science book from Hadley Wickham (https://r4ds.hadley.nz/). Even if they are simple exercises, they cover a lot. If the focus is in R programming and package development, then the Advanced R book also by Wickham, https://adv-r.hadley.nz/ has also exercises that come in handy as small tests and also cover all subjects.

Yep, Posada de Valdeón

Technically the truth, there are fungi there, but is a lichen, a combination of algae and fungi. Beautiful by the way!

Shoemaker (Zapatero) in my part of the world

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As far as I know, yeah, R always work with copy on modification. Some libraries as you mention (data.table) can have object/classes to avoid this, but I’m not aware of any of them working with arrays (more than 2D). Maybe parquet or arrow have something like this??

I’m @MalditoBarbudo, a data scientist at an ecology and forestry research center.

I’ve been using R for 14 years, starting as an user and ending as a developer. I’ve done also some python, sql and web development (html, js and css).

I prefer tidyverse, it fit perfectly with my mental logic, but I reckon that sometimes data.table is needed (but in that case dtplyr comes to help!).

I maintain several packages (sapfluxnetr, meteospain…) and collaborate in others (meteoland, medfate…). I also maintain a web with several shiny apps for forest data visualization (LFC).

My favourite obscure package changes every week or so, but if I have to choose one, lately I’ve been playing with rayshader, trying to create nice 3d map plots.