Description
We present python tools for analyzing large collections of stimulus-response time series. The PyData ecosystem proves proficient at all levels of the data processing pipeline: from collection to discriminative analysis and interpretation. We introduce two new libraries: "whatami", for easy computation provenance tracking, and "pyopy", for seamless talking to useful octave/matlab libraries