The bit everyone wants:
> The initial benchmarks show something of a 2-9% performance improvement.
Which is underwhelming (as mentioned in the article), especially if we look at PyPy[0]. But it's a step forward nonetheless.
> The initial benchmarks show something of a 2-9% performance improvement.
Which is underwhelming (as mentioned in the article), especially if we look at PyPy[0]. But it's a step forward nonetheless.
It's a bit less underwhelming if you consider that only function objects with loops are being JITed. nb: for loops in Python also use the JUMP_BACKWARD op.