I'm still using Bootstrap and Jquery for my side projects.
It helps lower the amount of technology I use in my stack.
From my experience maintaining frontend technology is not as simple as backend.
I've come to the conclusion that data is the most important thing, so my concentration is mostly on getting the database right then build out with a backend rendering framework. So the presentation is not as important in the initial phases and bootstrap is good enough.
I was in my org conference and the guy that head AI team was stating how Deep Learning going to change the world. That it'll write software in a few years (he's from the applied math field). He also glossed over many on going problems with Deep Learning.
We're in healthcare industry and this guy is pushing Theranos like level of snake oil.
The people that don't know a lick about ML or Statistic or both rely on these people. The doctors are relying on that dude and I for these inputs. And the dude is selling theranos like stuff. I think the problem is the medical field, cs, and stat are all high level field, requiring years of training to acquire mastery and knowledge. So it's rare that someone would have all three to be able to have a impartial view or a good overview of pros and cons.
Yeah it because the Erlang VM have a preemptive scheduler and each process have a mailbox which gets a designated amount of time to access cpu.
You can do a for(1) for loop and it won't hog the cpu because it get premptive. The problem is when you have large amount of problematic mails in the mailbox....
It's not the language but more about how the data is store (data structures/indexes) and what you're going to do with the data.
At least during my time as a developer, I've come across many people that didn't understand this. When asked why they want to use elasticsearch over RMDB is it because they wanted Trie over B+tree? They didn't understand. Also the use cases almost always relational. Postgres have good enough FTS actually if anything elasticsearch is almost always a complement database not a replacement to RMDB.
Yeah... that's why I wait a few months to download any new update from Apple.
With the reports/articles about Big Sur and how it send data back to Apple, I am moving to PC.
I am not moving to PC thinking that Window doesn't do the same. It's just the line between Apple and Microsoft is slowly blurring.
The issue with Apple quality and dev friendly can be mitigated by good enough pc quality and linux vm. Apple is more and more tailor toward general consumers which led to more wall garden and questionable practices.
> Compared with, say, data.table in R, or pandas in python, one of the things I enjoy most about Julia packages is that they're almost exclusively written in pure Julia.
R is going to eventually use Julia in their package. It's one of the gluest language I've ever learned so far.
It's actually R's strength. It doesn't have to compete when it can assimilate stuff in the backend while leveraging their existing user. Just look at STAN.
> Do you guys think there is in theory, the best programming language, or will this always be subjective
I think there is only best for what it was design for. We should compare the language goals with other language with similar goals.
Elixir/Erlang's goal makes it quite possibly one of the best language for concurrency.
R is the best language, so far, for statistic and researcher implementing their latest paper in. It also have FFI for C++/C so if things are too slow.
Once you start to compare a general programming language such as Python it gets a bit harder to say "best" because it seems to want to do everything. It's much easier to do a few things correct/good than it is to do a lot of things good/correct.
With this mind set, we can just be more objective and choose right language for the right task, instead of picking the one language to rule them all.
edit/update: This is before we even account for the ecosystem and software around the language.
Almost all statistical models give you probabilities and it is up to the domain to determine the cutoff. You can clearly see this in logistic regression it's giving you a probability not a 1 or 0.
When a clinician gives me a dataset I build the model and leave it to them to do the cut off. It is not my domain or expertise to tell them where the cut off is. Plus it gives away the responsibility. I'm not responsible for it unless they don't know and are asking me for a reasonable cut off.
An example is people opting for artificial in semenation because of problem. I believe the cut off is above 60% because of the trade off.
You can read more about it in Regression Modeling Strategies by Dr. Frank Harrell.
There was several hoster that ban pornography and white supremacist hosting content.
> financial providers
Templeton fired the lady that was choking her dog while calling the police because an African American man was bird watching. He also asked her to leash her dog.
It's a private company. I don't believe Trump is under a protected class to get special perks.
That's an arbitrary high bar to set and compare. We don't have hindsight nor the test compacity to compare it to historic pandemics. People are going to write thesis about covid19 for decades to come.
> but banks do provide essential services for a fee.
They charge you for not having enough money in your checking account, while using your money to give out loans and make money off of that. Basically charging you for being poor while making money off of your by fee and loaning your money to other people.
I'm old enough to remember they never charge a fee for not having enough money in the bank account. I left my bank for a credit union.
Also Well Fargo was caught recently in a dubious sketchy scheme.
Also Bootstrap 3 to 4 have had patterns of dropping support of IE versions.