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
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