Update np.array() calls on three separate arrays to single dask.compute() call

[jni]

In the notebook/blog post, there is a cell where three different arrays (rows, cols, data) are created that potentially share tasks in the task graph. This could be sped up by using a single compute() call with all three arrays. Cell 25 here:

The blog post should be updated not just with the "better" way, but with a comment showing the old way and explaining why the new way is better. Perfect real-world teachable moment! 😊

[GenevieveBuckley]

Yeah, I'm not going to be able to get around to this before I start my new job 😢

I agree with all of this. We should definitely do it ...sometime

[jni]

We should definitely do it ...sometime

This is just par for the course in FOSS, I have learned to let it wash over me... 😊 😂