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Wed Jan 14 11:40:21 EST 2004 · https://mail.python.org/pipermail/python-dev/2004-January/042008.html

I did my own pybenching, and then wanked with a spreadsheet.
Python-listopt seems a hair faster (~2%) I think the t-test says there's
90% confidence that the difference is statistically significant.
I haven't had a chance to run the pie benchmark.

redhat9, x86 2.4GHz, Python CVS.

        Python-cvs      Python-listopt
        29239.8         30303
        29940.1         30864.2
        29585.9         30487.8
        29585.8         29411.8
        29940.1         30487.8
        29411.8         30303
        29761.9         30303
        27027           30303
        30303           30487.8
        29069.8         27777.8

Minimum 27027           27777.8
Maximum 30303           30864.2
Median  29585.85        30303
Average 29386.52        30072.92
Std.Dev   904.49          885.61
T-test  10.4%           =ttest(b2:b11; c2:c11; 2; 3)

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[Python-Dev] collections module