

Looks good, thanks for the effort!
Looks good, thanks for the effort!
If you are on gnome,.gnome logs do most of the things you want (if I recall correctly, some years since I run gnome)
I wouldn’t call “professional cheaters” to the students that carefully proofread the output. People using chatgpt and proofreading content and bibliography later are using it as a tool, like any other (Wikipedia, related papers…), so they are not cheating. This hack is intended for the real cheaters, the ones that feed chatgpt with the assignment and return whatever hallucination it gives to you without checking anything else.
Wow, my physics teacher was right!! You really can assume a chicken is a perfect sphere!! Now is easier to calculate volume assuming pi is 5.78.
“penas”, that in Spanish (my native language) means sorrows. I think it fits perfectly
As a former postdoc converted to technician, I endorse this message
But tidy or not, Data is always pipe able
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
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.
Ornamental cherry, I don’t remember the species name now
Yep, there is a high resolution file for the three of them in the internet archive
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.
Technically the truth, there are fungi there, but is a lichen, a combination of algae and fungi. Beautiful by the way!
You got me good :(