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Update README.md #442

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Expand Up @@ -204,6 +204,22 @@ w # indexes=[0, 1, 3], values=[1, 3, 3]
```
Similar methods exist for BinaryOp, Monoid, and Semiring.

## Relation to other network analysis libraries
Python-graphblas aims to provide an efficient and consistent expression
of graph operations using linear algebra. This allows the development of
high-performance implementations of existing and new graph algorithms
(also see [`graphblas-algorithms`](https://github.com/python-graphblas/graphblas-algorithms)).

While end-to-end analysis can be done using `python-graphblas`, users
might find that other libraries in the Python ecosystem provide a more
convenient high-level interface for data pre-processing and transformation
(e.g. `pandas`, `scipy.sparse`), visualization (e.g. `networkx`, `igraph`),
interactive exploration and analysis (e.g. `networkx`, `igraph`) or for
algorithms that are not (yet) implemented in `graphblas-algorithms` (e.g.
`networkx`, `igraph`, `scipy.sparse.csgraph`). To facilitate communication with
other libraries, `graphblas.io` contains multiple connectors, see the
following section.

## Import/Export connectors to the Python ecosystem
`graphblas.io` contains functions for converting to and from:
```python
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