Try https://speed.python.org/comparison/ where all data are available: unselect all, select Py 3.5 & 3.6, normalize on 3.5, select sympy_*
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sympy benchmarks, Python 3.6 compared to Python 3.5: https://speed.python.org/comparison/?exe=4%2BL%2B3.5%2C4%2BL%2B3.6&ben=205%2C206%2C208%2C207&env=1&hor=false&bas=4%2BL%2B3.5&chart=normal+bars … Python 3.6 is faster (max: 10%)
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