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.

    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 / LuaJIT treatment.

  • It'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/improving PyPy.

  • Previously here: https://news.ycombinator.com/item?id=7524712

  • 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?