# Scientific Python Sparse Summit - Meeting 2

April 27th, 2023 --- 11AM - 12PM PST

https://scientific-python.org/summits/sparse/meeting2/

## Attendees

[e-mail]
[e-mail]
[e-mail]
[e-mail] (Hameer Abbasi)
[e-mail]
[e-mail]
[e-mail] (CJ)
[e-mail]
Julien Jerphanion <[e-mail]>

## Who is going to be working on sparse arrays?

Julien Jerphanion
Ross Barnowski
Dan Schult
CJ Carey

## Things to work before the summit

https://sparse.pydata.org/en/stable/
https://github.com/hameerabbasi/xsparse
https://github.com/Quansight-Labs/ndindex

### PRs to be merged:
https://github.com/scipy/scipy/pull/16108
https://github.com/scipy/scipy/pull/16033

https://github.com/scipy/scipy/pull/16033#issuecomment-1120091359

### Script:
A tool that understands the structure of code, and can make modifications. You can then ask to upgrade from scipy 0.x to scipy 0.y, and it would make some of the changes for you so you are not faced with deprecation warnings.

Example in NetworkX:
https://github.com/networkx/networkx/pull/5139

Some potential tools:
https://github.com/ssbr/refex
https://github.com/python-rope/rope
https://github.com/charliermarsh/ruff

### Discussions

tl;dr Current problems with matrices:

- Scipy sparse matrices convertion to dense array return numpy matrices

- silently wrong answers with scipy matrices are a reason for removing this semantic

CJ Carey: not keen to vendoring numpy matrix within scipy, having a separate package for numpy matrice

Have sparse matrices by small wrappers over sparse arrays and then migrate

No sparse 1D array for now.

## Road Map