In the last post I showed how to fit a Bayesian hierarchical model in R to estimate experimental parameters. Our main data analysis pipeline uses Matlab, and we’d like to integrate these two environments for the purpose of analysis. The example involved JAGS, which does have a direct Matlab interface in addition to the more common R one, but more … More Calling R from Matlab – flat file communication
Theano is a very interesting numeric library for Python that I covered briefly a few years ago. Coming from the machine learning group at Université de Montréal – i.e. Yoshua Bengio et al. – it is well adapted to the kinds of numerical tasks that frequently occur in machine learning problems, in particular deep neural … More Theano: numerical computation in Python
It’s easy enough to load .mat files in Python via the scipy.io.loadmat function. But what about loading .pickle files into Matlab? That’s easy enough by calling a system command in Matlab, like so: Note that I’m setting the LD_LIBRARY_PATH environment variable since Matlab seems to reset this variable internally and it causes .so module import … More Load pickle files in Matlab
Following my post on IDEs for scientific Python, several commenters mentioned using some combination of their favorite text editor and ipython rather than a dedicated IDE. ipython is an interactive Python interpreter that offers a much enhanced user experience over the regular Python interpreter: with features such as: Integration with matplotlib Autocompletion Syntax highlighting at … More ipython and ipython notebook for Matlab users
TL;DR: use Spyder if you want an IDE with Matlab-like features, or ipython notebook if you want to do literate programming. Python is a general purpose scripting language that can be used for statistical analysis, numeric work, machine learning, and so much more. With packages like SciPy, matplotlib, Scikit, pandas, and TensorFlow, it’s miles ahead … More Evaluating IDEs for scientific Python
