Hello again,
An new feature that I am currently working on for python is the
profile-guided-optimization.
Upstream:
https://bugs.python.org/issue24915
Original bugzilla:
https://bugzilla.redhat.com/show_bug.cgi?id=613046
Copr repo with builds: dnf copr enable cstratak/python-profiled-optimizations
Supposedly it speeds up the python interpreter's performance by ~20%, however it would
require some testing to figure out if that is indeed the case for the python rpm, and some
tweaking might be required. It would be great if I could get some help from someone who is
involved python's benchmarking. Planning first to try this with Python 3 and then also
maybe Python 2. I'll rework the builds at copr later and I'll post a github repo
as well with the proposed changes.
Charalampos Stratakis
Associate Software Engineer
Python Maintenance Team, Red Hat