title: Fast row operations with python sparse matrices
body: <p>I have a large sparse matrix in python, and would like to perform many elementary row operations on it. That is, adding a multiple of one row to another row. What is the most efficient way of doing this? Elementary row operations are possible with a lil matrix, but very slow. csc and csr matrices do not support these operations.</p>