Python is a great language for this kind of super-glue code. The pure tensorflow snippets are rarely run in isolation, and python makes retrieving, loading and

Python is a great language for this kind of super-glue code. The pure tensorflow snippets are rarely run in isolation, and python makes retrieving, loading and munging data pretty simple when you tap into its rich ecosystem of scientific and utility packages. Python has always been about dipping down to C when needed - just look at the various stdlib features like namedtuple and lru_cache that had optimized C versions introduced once the python versions were deemed useful and performance critical. A commenter below seems outraged about the torch->pytorch change, but really the GitHub contributions and adoptions for each speak for themselves