Any chance to have this for Firefox?

Having a schema and generating random or synthetic data based on that schema is my way to go for testing.

I did an applied Math masters in 2016 and they teached us Fortran (Matlab too), along with the usual commercial software such as ansys + ofc all the PDE theory necessary.

Point being: it's niche but it's still there. Classmates who ended up tightly adhering to the masters career path now write Fortran for a living.

And don't try to sell me "but C++ does the same and it's better/more modern". I've written Fortran, I've written C++, and Fortran is neither arcane nor hard, especially when you use it for its intended purpose (FORmula TRANslation, i.e. physics sims), in fact it blows C++ out of the water in usability if you are not a computer scientist... Which is why physicists and mathematicians keep using it.

I'm not going to jump the "Fortran is dead" bandwagon as it is a language that continues to get used in simulation code and I feel it's never really going to be replaced. As you mentioned it has good properties for writing that kind of code, good compilers, etc.

That said, it is a very niche language, used mostly in the physics simulation & supercomputing world. And idk how popular NN are in that sector, but it seems to me it's a niche inside a niche... So you will need to dig a bit to get answers. Maybe the people at r/Fortran will know more.

Training in that manner tends to "forget" previous knowledge in the net.

Lemme ask chatgpt real quick

It's in the spirit of open source to contribute to packages you care about. Just saying

lmaoing @ the 2 blatant bot accounts that posted there 1h ago

...wtf?

.pipe() is another game changer, along with .assign(). I recently discovered you can pass callables to almost ANYTHING in pandas. Things like df.assign(newcolumn= lambda df: ... or better yet df[lambda x:....] and df.loc[lambda x:].

Relax this is just better compilation for algorithms that exist, not new algos.