An open-source Python implementation using JIT techniques

Google V8 is certainly a brilliant piece of engineering, but by no means Method JIT ( V8 is based on ) has won or the best. Because the King, LuaJIT is based on Tracing JIT.<p>I have to wonder why Python as a communities have always have the interested to substantially speed up Python. While the Ruby Camp has always been about if you want more speed, do it in C. ( Best Tools for the Job manta? ) Although I hope Ruby MRI will one day get its own Google V8 &#x2F; LuaJIT treatment.

It&#x27;s interesting, but it looks like it has a loooong way to go before reaching feature parity with PyPy, which has itself a number of challenges to overcome before becoming mainstream. I would be interested to read the rationale for starting work on Pyston vs using&#x2F;improving PyPy.

Previously here: <a href="https://news.ycombinator.com/item?id=7524712" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=7524712</a>

Given that this is a new project, why focus on python 2.7, rather than 3.4?

Would this allow python to be run in the browser (by going through Emscripten and asm.js)? Is that a goal that makes sense?