On Monday, 9 November 2015 at 19:31:14 UTC, Márcio Martins wrote:
I have been running some MCMC simulations in Python and it's
hard to cope with how unbelievably slow it is.
Takes me almost a minute to run a few hundred thousand samples
on my laptop whereas I can run the same simulation with a
million samples in under 100ms, on my phone with JavaScript on
a browser.
Then, you spend a minute waiting for the simulation to finish,
to find out you had an error in your report code that would
have been easily caught with static typing. So annoying...
Is anyone doing similar stuff with D? Unfortunately, I couldn't
find any plotting libraries nor MATLAB-like numerical/stats
libs in dub.
This seems like another area where D could easily pick up
momentum with RDMD and perhaps an integration with Jupyter
which is becoming very very popular.
I think you may like to have a look at
https://github.com/dscience-developers/dscience that is a
collective effort to give D tools for bioinformatics (mainly).
Also note that if you want you can just plug some python code in
using PyD https://github.com/ariovistus/pyd. A concrete example
can be found here:
http://d.readthedocs.org/en/latest/examples.html#plotting-with-matplotlib-python
Although, this video could be of some interest to you:
http://dconf.org/2015/talks/colvin.html
