Message183951
Absolutely. Although there is a very useful scenario where this could be consided a run-time setting:
# turboprofiler.py
# Load up the memory hooker which will supply us with all the info
import _turboprofiler
_turboprofiler.hookup()
Perhaps people interested in memory optimizations and profiling could hook up at pycon? It is the most common regular query I get from people in my organization: How can I find out how python is using/leaking/wasting memory? |
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2013-03-11 11:30:20 | kristjan.jonsson | set | recipients:
+ kristjan.jonsson, barry, rhettinger, gregory.p.smith, amaury.forgeotdarc, ncoghlan, Rhamphoryncus, pitrou, vstinner, jszakmeister, tlesher, jlaurila, neilo, pjmcnerney |
2013-03-11 11:30:20 | kristjan.jonsson | set | messageid: <1363001420.07.0.861765772954.issue3329@psf.upfronthosting.co.za> |
2013-03-11 11:30:20 | kristjan.jonsson | link | issue3329 messages |
2013-03-11 11:30:19 | kristjan.jonsson | create | |
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