[stevenaleach]

Jupyter Notebooks + Theano + Lasagne + Matplotlib + [the pip package ecosystem]. For my weird little niche (Machine Learning / Computational Intelligence), it is the perfect tool. It's also the perfect language for basic management scripts - a handful of lines of Python made setting up a shared machine learning server with Slurm/Jupyter-Hub/IPFS/Theano+Lasagne+Tensorflow (the last of which I've not personally used) easy. I work with a tmux session with scripts running training nets, and a Jupyter notebook open to evaluate and explore parameters and behavior at save points each epoch. Python/Theano/Lasagne allow for concise easily readable code that documents and describes the concept at hand such that my code cells wind up containing few, if any, comments - instead writing anything that needs to be written in markdown with any inline graphic needed in cells between code cells. For real-time work like mine, scripts are likely to be run once (or rather several times, changing meta-parameters along the way), and most code written will be notebook cells either soon to be deleted or as part of a record that should ideally be in clear readable language.