https://madnight.github.io/githut/#/pull_requests/2021/1 Just saying but julia open source is kinda dead outside few very high quality packages
I'm working a lot on M1 and few months ago it was unusable for Deep Learning stuff but now its mediocre not good but also not terrible. (even coreml stuff wasn't working properly on M1 2 months ago)
Building flashlights was so frustrating on WSL for me take ~3/4h and still cuda wasn't working.
Every time there is a topic about python, there is this one Julia guy who spam Julia "alternative" for python solution in every topic. Can you just guys stop? it kinda feels like watching a cult.
I see a lot of poetry and pyenv but i feel like anaconda/miniconda is a king :)
Training is almost always hardest (Especially when u have to use few millions$ for it :D)
I think i can answer that, first of all Julia isnt as fast as C/C++/Nim etc. in most cases Julia is just fast in scientific computing that's all. (there is only one "scientific" benchmark on kostya benchmarks) Second to…
If u just look on the main page u would see they are excluding jitting time (using warm start to measure jitted languages) Dunno why this people cant just read few lines of comments in github page before posting :D
I would say few B for sure just so they can compete in that space
Nim is more mature and a with a lot bigger community with diffrent focus. Crystal focus is pure web trying to be Ruby and Nim is more like python.
Its okish on ubuntu and wsl but windows still lag hard. Worst think is very narrowed libaries working only on apple devices even most cool open source projects are just locked and are looking only on apple ecosystem…
GCP wont be killed anytime soon its third biggest cloud provider but i can agree AWS is a lot safer bet.
https://madnight.github.io/githut/#/pull_requests/2021/1 Just saying but julia open source is kinda dead outside few very high quality packages
I'm working a lot on M1 and few months ago it was unusable for Deep Learning stuff but now its mediocre not good but also not terrible. (even coreml stuff wasn't working properly on M1 2 months ago)
Building flashlights was so frustrating on WSL for me take ~3/4h and still cuda wasn't working.
Every time there is a topic about python, there is this one Julia guy who spam Julia "alternative" for python solution in every topic. Can you just guys stop? it kinda feels like watching a cult.
I see a lot of poetry and pyenv but i feel like anaconda/miniconda is a king :)
Training is almost always hardest (Especially when u have to use few millions$ for it :D)
I think i can answer that, first of all Julia isnt as fast as C/C++/Nim etc. in most cases Julia is just fast in scientific computing that's all. (there is only one "scientific" benchmark on kostya benchmarks) Second to…
If u just look on the main page u would see they are excluding jitting time (using warm start to measure jitted languages) Dunno why this people cant just read few lines of comments in github page before posting :D
I would say few B for sure just so they can compete in that space
Nim is more mature and a with a lot bigger community with diffrent focus. Crystal focus is pure web trying to be Ruby and Nim is more like python.
Its okish on ubuntu and wsl but windows still lag hard. Worst think is very narrowed libaries working only on apple devices even most cool open source projects are just locked and are looking only on apple ecosystem…
GCP wont be killed anytime soon its third biggest cloud provider but i can agree AWS is a lot safer bet.