PyPy has higher memory overhead for very small units of work but usually once you do more than a couple of seconds of work it usually uses significantly less memory than CPython. As far as I'm concern who cares if a…
PyPy is taking a similar approach. The difference is Numpy is using CPython's CAPI as the duct tape where as PyPy is using cffi as the duct tape. Both approaches end up using the same underlying libraries. Too many…
PyPy has higher memory overhead for very small units of work but usually once you do more than a couple of seconds of work it usually uses significantly less memory than CPython. As far as I'm concern who cares if a…
PyPy is taking a similar approach. The difference is Numpy is using CPython's CAPI as the duct tape where as PyPy is using cffi as the duct tape. Both approaches end up using the same underlying libraries. Too many…