测试numpy的安装是否优化
%pylab
from datetime import datetime
n = 2000
t1 = datetime.now()
U,D,V = svd(randn(n,n))
# U,D,V = svd(np.arange(n*n).reshape(n,n))
dt = datetime.now() - t1
dt.total_seconds()
测试numpy的安装是否优化
%pylab
from datetime import datetime
n = 2000
t1 = datetime.now()
U,D,V = svd(randn(n,n))
# U,D,V = svd(np.arange(n*n).reshape(n,n))
dt = datetime.now() - t1
dt.total_seconds()
转载于:https://www.cnblogs.com/bregman/p/4774918.html