How can we use numpy's random `integers` function to get uniformly selected
integers from an arbitrarily large `high` limit? This is important when dealing
with exact probabilities in combinatorially large solution spaces.
I propose that we add the capability for `integers` to construct arrays
Hello everyone,
I've been helping scipy.sparse provide a sparse array interface along-side
sparse matrix.
With that effort making good progress, we are starting to think about
bigger implications.
Now may be a good time to reconsider *what to do with np.matrix*.
I think we have three options:
1)
This is quite helpful. Thanks!
Github search:
I'm not surprised that many github hits are like homework problems. The big
resistance to removing np.matrix early on (~2008) came from educators who
wanted a Matrix oriented experience for their students who had recent linear
algebra background. It
