John Stachurski

Sounds like a good plan to me.

Clearly everyone else has thought about this much more carefully than me. It sounds like QuantEcon should be trying to help development of the `linear_basis` branch and possibly the `compecon-python`...

Thanks for the list @DawievLill , it's really useful. I didn't realize there were so many to be ported. As @jlperla said, fitting with your teaching is a good approach....

I think that technique 1 is the default approach and should be fine for most cases. If we have a lot of tests based on the LLN it might take...

I think @davidrpugh is right --- there should be a simple way to pass in a seed to `mc_sample_path` and we should then follow a similar construction for other functions...

@mmcky , it refers to this one: https://www.databookuw.com/

@albop Thanks. I tried and got the same result. That's quite reassuring.... But still not as quick as with `np.random.randn()`, as you say. It's not great to have this fragility,...

This is separate because it just pertains to PNG files, or whatever kinds of files we're loading into the page via `.. figure::` @DrDrij at one point said something about...

Yes, that sounds great to me @najuzilu, thanks. We just need to use :scale: and that version of the same material has the right scale numbers. @shlff yes please!

@spencerlyon2 Please flag any changes that require corresponding changes in the lectures.