!35K, I just payed $11K for the same in Europe. But here in Spain it is not financially worth it, but insurers against frequent brownouts and 3 outages a year
I think its worse, the governments will be unable to deliver (my perspective is Europe). Think one needs to consider many strategies to avoid starving when retired. But I fully expect my EU government to give me no pension, no matter what they say today.
I am more optimistic. I always suggest automatically dropping x% of ones income into an index fund. At the least it will hedge against the very real chance governments will not be able to deliver on their promises.
European pensions are predominantly unfunded, and promises typically amount to 3.5 times GDP. The prevailing view among those who have looked at this is that nobody under the age of 40 will get anything close to what is promised. The only exception is Netherlands, and maybe Sweden. Leaving private pensions the only option.
yes, number 1 reason why the researchers around me pick R. RStudio just works.
I had to run someone's 10 year old R workflow last week. Ran perfectly.
Last years python code will not run unless someone was careful enough to make a requirements.txt. Try explaining that to the non computer scientists. My python support colleague runs into that constantly. She is not a happy support person.
Asked a Spanish professor of computer science, and he said the system is so corrupt that nobody cares. Everybody knows about this guy, and nobody cares.
we dont have these tariffs in europe, and still the sunnyest place in europe, the Canary Islands, make 85% of their electricity with oil. Always wonder why they dont have more solar panels.
most are specialised in my field. for the more general, I cannot work without dynlm and plm. Just last week I needed to compare the empirical distribution of something to a known reference, with either the empirical or QQ, and searched Python, Julia and R. The R libraries were by far the best. More subjectively, I like data.table better than any alternative in any language for the type of work I do.
> I'll be happy when we have a successor language for R, but it won't be 2024 Python.
When it comes to statistics, and especially having to program stats analysis instead of just calling libraries, R is a much better language than Python or Julia. When it comes to other things, they are better than R. I use all 3 daily.
Yes, but its more complicated. In my case I have slides with a number of include files, some have not changed since 2006 (just checked), one does not want to maintain slides with same ancient version of typst, and then possibly have many floating around.
For me, they need to promise full backwards compatibility.
> The author is a PhD student that has been using LaTeX heavily for 10 years. But what should a new student use, and why? When the only reason to choose LaTeX is old colleagues and gatekeeping publishers, I know it's a matter of time.
Sadly its more than that. Will we be able to compile a typst file made today in 10 years? I have to do that regularly with latex. Will everybody one collaborates with also use typst? Very unlikely. A new PhD student may find it beneficial to write papers with someone who only uses latex. then why bother with typst? (and I really want typst to win)
Nice piece, and his comment on typst is spot on. I would love for typst to displace LaTex, I hate LaTex and use it every day, and deep inside know it will never go away, unless a much better programmer than I writes a LaTex -> typst converter that covers all the corner cases. One can always hope.
I do wonder if that could happen where I live. Regardless, it is hard to stay in hotels without them copying passports, a local law. Happened to me last month in both Switzerland and Italy. And in one I saw them them leaving piles of passport copies on a table for anybody to pilfer.