Partial documentation combined with complex code will be great for your bank account.

Code fast, and badly, always under promise and over deliver. Before the shit hits the fan, move to another place.

Next person after you will take the blame. You may be hired again at premium as you can deliver. Blame the replacement Dev for breaking the code and causing a lot of damage.

Fix the little that is possible, at premium rate and move on.

I don’t see a reduced number of CS students that enjoy poking around. I see an increase in the number of students that are there only for the good salary. Making the poking type into a smaller percentage.

I really don’t get it, I moved to NixOS some years ago. Okay, first few months I had to fiddle with configurations and add some packages that were missing. Everything past those early months was a blast.

Replacing a dead laptop? The most time consuming part (for me) is making a bootable USB. After that I can push my already ready made configuration and just back to where I was (backs ups are important).

Working on different versions of Python? No problem, a small nix script for each environment.

Working with different versions of GCC? Same as Python.

Everything just works. And if I fuck around I can revert the change. I can easily experiment in a way that will no fuck affect my ability to work.

At work we have Ubuntu, and I got the conclusion that nuking Canonical’s offices will be a blessing on humanity. They manage to deliver broken packages for years, even packages that work well on Debian.

If I’m reading their CEOspeak right, their objective is to fire the very experienced people, that costs a lot of money, and replace them with people that costs less.

I never worked at Google, so I don’t know for sure, but it sounds like the Python team is important and that this will backfire. As the people that costs less will also be less skilled, and Python is an important piece for AI/ML research, where Google is already lagging behind. The AI people in Google will get lower quality help with Python, and Google will lag even further behind.

That what happens when the CEO is an MBA and not an engineer.

I’m not a brain-rotted manager, I know how to buy a desk and arrange a work station.

You can easily load PDFs into kobo readers, at-least into mine. However, most PDFs will be unreadable. To reads PDFs properly on a e-reader you need a screen that is at-least as big as their render size. Meaning, that if the PDF was built for A4, your experience will be, in most cases, lacking on any screen smaller than A4.

I have no experience using such big eink and can’t comment on their quality.

Bought a math book from them, they refunded it with no questions, after I read a lot of it, because some of the equations were unreadable.

Being bad at math does not make you dumb. I failed math at school, and thought I will fail computer science.

I had very hard time in calculus 1 and 2, but appreantly I’m great at discrete mathematics. Introduction to mathematical logic was so fun, I took an advanced course in temporal logic.

Finished the degrees second in my year. Got into a multidisciplinary masters program and finished that too.

I’m now the guy that gets the problems others failed to solve in the lab.

On another note, the person I got to know that is best at learning math, sucks at every other subject in life. He can read math books cover to cover and then use it even a year later. He can’t prooerlly feed him self, not from home made meals his mom packed for him as a student and not shopping from the store. If you can take food from the the refrigerator into your plate without making a huge mess or poisoning your self, you are already ahead in life.

tl;dr being bad at math doesn’t make you dumb. School level math has almost nothing to do with programming and Uni level math.