This time we had around 40 participants, about the same as the last
event (JuliaTokyo #1) back in July.
We had audiences from mixed backgrounds; physics, finance,
bioinformatics, adtech, marketing and web engineering to name a few.
It seems the biggest cluster of people are from R community,
FWIW, I think going after the data analyst community is a losing bet for
Julia until a few more years have passed. The R community contains very few
developers, so most of the R community couldn't possibly benefit from a young
language that needs develepors, not users. It's a bad relationship
I agree with that.
In our meetups we generally get good reactions from the people who
implement their own algorithms (theoretical physicists, machine
learning researchers, etc.), but not much from the data analysts.
Analyst people come up hearing about Julia much faster than R, and
then after
Yeah, this is exactly my experience. When I first got involved with R, I spent
more time with machine learning folks and less with statisticians. I naively
assumed that statisticians were as savvy about programming as ML folks, which
has proven to definitely not be the case. This lead me to
