I am curious as to how F# performance compares to C++ performance? Varies wildly depending upon the application. If you are making extensive use of sophisticated data structures in a multi-threaded program then F# is likely to be a big win. If most of your time is spent in tight numerical loops mutating arrays then … Read more
What languages/environments have you used for developing scientific software, esp. data analysis? What libraries? (E.g., what do you use for plotting?) I used to work for Enthought, the primary corporate sponsor of SciPy. We collaborated with scientists from the companies that contracted Enthought for custom software development. Python/SciPy seemed to be a comfortable environment for … Read more
So your data isn’t that big, and the fact that you’re having trouble plotting it points to issues with the tools. Matplotlib has lots of options and the output is fine, but it’s a huge memory hog and it fundamentally assumes your data is small. But there are other options out there. So as an … Read more
It’s probably faster and easier to use numpy.digitize(): import numpy data = numpy.random.random(100) bins = numpy.linspace(0, 1, 10) digitized = numpy.digitize(data, bins) bin_means = [data[digitized == i].mean() for i in range(1, len(bins))] An alternative to this is to use numpy.histogram(): bin_means = (numpy.histogram(data, bins, weights=data)[0] / numpy.histogram(data, bins)[0]) Try for yourself which one is faster… … Read more
Can you use R to replace MATLAB? Yes. I used MATLAB for years but switched primarily to R in the last 3 years. At this point, they have much more in common than not. It partially depends on your field and use-case. And as Spencer Graves said previously, it also depends on which “church you … Read more