You can work in bioinformatics, the pay is lower than FAANG, but your code will benefit society.
You can work in bioinformatics, the pay is lower than FAANG, but your code will benefit society.
Importance of order changes by field. In my field, at least for in lab work: first is the main lab person that worked on the project. Last is the PI, everyone that helped goes in the sandwich. I’m unsure about collaborations between labs and at that point too afraid to ask.
This is brilliant
This is both cute and very wholesome
We don’t have a stable way to feed 8 billion people. The dependency on monoculture will cause many people to die under a changing climate.
Self gardening may:
TIL about pawpaws, thanks.
Yea, I had Basil im some apartments. The current one has no sun at-all. Basil needs some. But when I bought plants my father guided me how to split them. Gifted my friends, don’t need more then one.
I worked a few summers on a commercial organic farm and for many years in a small family plot. Maybe we are talking about different scales of transportation, quality control or different species of tomatoes.
I don’t live in the USA.
I just don’t live near a tomatoes field, however, it’s not just time, perfectly ripe tomatoes don’t survive transportation well. So mass production of tomatoes requires the picking of less ripe fruit.
It may be true for ‘soldier’ plants. However there are thousands of plant species that can’t be both efficiently mass produced and shipped while still being of good quality. So you get a bad produce, very costly produce or both.
I can’t afford fresh Basil leaves, I maintained a plant in my kitchen in some of the apartments I lived in. The current one doesn’t have enough sun. It took 10 minutes of work to arrange and emptying left over water.
Also, if you never tasted cherry tomatoes straight from the plant you don’t what you are missing, and how shity is the produce in the market.
In addition to other comments,read about Ada Lovelace. She was brilliant, she wrote the first program, and done so before we had computers!
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.
Latex it all out
Thermos ?
If you buy a Moka pot and the cheapest grinder you can find, you can buy fresh beans in bulk. It will cost less in the long run, and the coffee will taste better.
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 may consider helping the Thunderbird devs
They paid enough? Nobody at Elsevier is getting paid enough to give a flying fuck?
Bioinformatics isn’t used only for medical research or within big companies. Sub-topics like metagenomics, that are helpful in many areas of research, require high level of technical knowledge, that the life science people don’t have.