/scg/ - Scientific Computing General

>Instead is just a python wrapper which is redundant for not to say a handicap.

Problem is, Python has a head start. Who's going to come up with a Julia-native equivalent for Matplotlib or Pandas in a few months, which has similar functionality and scope?

Julia's interesting and I'll keep reading about it, but for now, I think Python's still the better choice for my stuff. I do have a scientific computing task coming up in a few months, but I can't see myself doing it in Julia. I've just managed to convince everyone in the group to ditch IDL and Matlab in favour of Python, if I now tell them that the new package will be written in another new language, they'll riot.

I started filming some basic finance math videos using Python

youtu.be/h-sZ4kgln40

>I've just managed to convince everyone in the group to ditch IDL and Matlab in favour of Python,
You done goofed, son

My thought exactly.

I was reading on expert systems and stumble upon Prolog en.wikibooks.org/wiki/Expert_Systems/Prolog
Which took me to Horn clauses en.wikipedia.org/wiki/Horn_clause
If you love to read about logic on you spare time do read these.

Why would I read about dead technologies?

You are not the brightest man on earth dont you

The theory behind is entertaining.

Cause is shit

Kek, really? How far from reality does one need to be to prefer IDL/GDL and Matlab to an equivalent Python/Numpy solution?