• the broken link is to BK19 as a reference but that doesn't seem to be in our quant-con.bib file

You can read  about Dynamic Mode Decomposition here {cite}`DMD_book` and here [[BK19](https://python.quantecon.org/zreferences.html#id25)] (section 7.2).

@jstac or @thomassargent30 do you know what BK19 would refer to and I can add it as a proper reference using bibtex

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

• this pr requires Use np.interp instead of interpolation.interp #387

• this cannot be merged until interpolations is updated or there is a substitute for mlinterp that is suitable for the odu lecture (cc @kp992)

ImportError�[0m: cannot import name 'generated_jit' from 'numba' (/opt/conda/envs/quantecon/lib/python3.11/site-packages/numba/__init__.py)

I see, from numba 0.60, generated_jit will fail.

I see, from numba 0.60, generated_jit will fail.

@kp992 I think from numba>=0.59 it will fail -- so that is why we will need to fix interpolation as we use it for minterp and some splines support. From my discussion with Pablo, the generated_jit will need to be replaced with an alternative (overload?) EconForge/interpolation.py#110

From my discussion with Pablo, the generated_jit will need to be replaced with an alternative (overload?)

I have tried fixing that locally but that's throwing some error. I followed the examples of moving from generated_jit to overload, but didn't work. Let's pin numba < 0.59 until we find and do robust a fix for this issue.

• check status of Apply @njit to interp and mlinterp EconForge/interpolation.py#114

🚀 Deployed on https://662db0ad52d90f4fc4907697--nostalgic-wright-5fa355.netlify.app

• re-enable build cache
• open an issue to update pip install from main branch of interpolation repo to pypi once released

• reverted to install interpolation from pypi which is currently 2.2.6