Go's definitely picking up momentum. I know that Mozilla is shifting much of its services infrastructure to Go. We're porting over our Arabic sentiment engine, currently in Python/Cython to Go. If you're dealing with simple data structures, going from Python to Go is almost a line-for-line port, but the performance benefits are, of course, massive. Our benchmarks show a 40x speed improvement so far. Lastly, for anyon…
Just curious, what were the tradeoffs for profiling the Python code and rewriting slow parts in C vs total rewrite in Go? For high level languages, the usual argument has been to rewrite just the slow parts in C or some other low level language.
We needed some massive speed improvements, I'm talking in the order of 100X faster. The nature of our algorithms was such that they could be done in parallel (i.e map/reduce) - an ideal candidate for Go's goroutines. We actually tried to make it parallelizable at first in Python, using gevent (and even just multiprocessing) and the results were not great.
One other aspect that really guided us towards Go was memory usage. Python was just sucking up so much memory whereas our Go implementation thus far is so much thinner.