[SOLVED] What is the difference between statistics.stdev() & numpy.std() and which is more precise?

Issue I used this dataset: lst = [81922.00557103065, 82887.70053475935, 80413.01627033792, 81708.86075949368, 82997.38219895288, 84641.50943396226, 81929.82456140351, 82632.24181360201, 77667.98418972333, 73726.47427854454, 86113.2075471698, 83232.98429319372, 79866.66666666667, 83833.74689826302, 81943.06930693069, 77898.64029666255, 77401.47783251232, 80607.59493670886, 78384.5126835781, 82608.69565217392, 80824.8730964467, 84163.70106761566, 74887.38738738738 ] Then statistics.stdev(lst) is 3096.28 and numpy.std(lst) is 3028.23. The

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