This mirrors my own experience using go to write software used in biological research. Performance is good enough and the quickened dev cycle due to less verbos

This mirrors my own experience using go to write software used in biological research. Performance is good enough and the quickened dev cycle due to less verbosity and excellent tooling makes implementing variations on algorithms easy. Ie I wrote a random forest implementation [1] and i've been able to quickly add in a bunch of different published and experimental variations on the algorithm as needed for the data sets I work on. [1] https://github.com/ryanbressler/CloudForest https://github.com/ryanbressler/CloudForest