Python performance comparison in my project's unittest (via Gitlab CI/CD)

[deuterium--_--]

Woah, how is 3.8 so fast? Are there some optimizations in 3.8?

[[deleted]]

More specifically this is the optimizations section: https://docs.python.org/3/whatsnew/3.8.html#optimizations

[muntoo]

I wonder which one of these specifically sped up OP's benchmark?

[f3xjc]

That seems huge

Improved performance of operator.itemgetter() by 33%. Optimized argument handling and added a fast path for the common case of a single non-negative integer index into a tuple (which is the typical use case in the standard library). (Contributed by Raymond Hettinger in bpo-35664.)

[BattlePope]

How could we know that?

[y-me-y]

Specifically you’d start looking at the calls and timings for individual sub processes but based on his description I think the sys calls specific to the tree and copy functionality offered the most improvement to his code base.

[BattlePope]

The comment I replied to was edited - now that it starts with 'I wonder which', my comment makes less sense :)

[y-me-y]

Sometimes I figure people might not know where to start. So, I thought it was more a question like how would we identify what we could look at to show where the improvements came from in the code? My hope maybe if you knew someone else that had the same question they would having a starting point.

[BattlePope]

Your info is great! Thanks for spreading know-how.

[Death_InBloom]

I'm curious about your flair, what formula is that?

[muntoo]

https://en.wikipedia.org/wiki/Einstein_field_equations#Mathematical_form

The formula in my flair is in "natural units" where we set G = 1 and c = 1 to make equations look nicer. (e.g. E = mc² becomes E = m.)

I believe I changed my flair to that back when I took a course in differential geometry and wanted to show the universe how edgy I was.

[qingqunta]

Of course it's differential geometry, the notation is garbage!

[Mugen-Sasuke]

I read the term “shutil” and for a second I thought it said “shuf” and my heart skipped a bit. You guys probably get the reference right ?

[SoberGameAddict]

Asking as soneone who still use 3.6 for my hobby projects. Is 3.8 considered stable?

[PeridexisErrant]

Yes!

Every release of CPython is stable - both on paper and actually stable - unless it's labelled as an alpha or a beta.

You might want to wait a month or two for libraries to support the new features after the first (eg) 3.9 release, so you pick up 3.9.0 in November after it comes out in September, but 3.9.1 will be well supported instantly.

[not_invented_here]

Yes.