hi i am doing some maths calculations involving matrices of double values using numpy.matrix , java code for this is something like int items=25; int sample=5; int totalcols=8100; double[][]dblarrayone=new double[items][totalcols]; double[][]dblarraytwo=new double[items][totalcols]; //their elements are set elsewhere before calculation double[][] resultarray = new double[items][sample]; for(int i=0;i<items;i++){ for(int j=0;j<sample;j++){ double tval=0.0; for(int p=0;p<totalcols;p++) tval+=dblarrayone[j][p] * dblarraytwo[i][p]; resultarray[i][j]=Math.abs(tval); } } so I wanted to do the same in python..(may be this code is not in the recommended way..) i am storing the filled matrices and other values as instance variable of a class and access them by self.whatever... self.items=25 self.sample=5 self.totalcols=8100 #self.matrixone,self.matrixtwo are numply matix objects with already filled elements #but for testing i filled it with zeros self.matrixone=matrix(zeros((items,totalcols))) self.matrixtwo=matrix(zeros((items,totalcols))) resultmatrix=matrix(zeros((self.items,self.sample))) for i in range(self.items): for j in range(self.sample): tval=0.0 for p in range(self.totalcols): tval +=self.matrixone[ j , p ] * self.matrixtwo[ i , p ] resultmatrix[ i, j ]=abs(tval) here I found that while the java code takes barely 110 milliseconds to execute the code ,the python code takes something like 53 secs to execute !!..I am baffled by this ..can anyone advise me how i can improve this? (i want to code in python so I can't use c,c++ , java) dn