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Lectures on Quantitative Economics Using JAX

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**EDIT** transferred from intermediate lectures. The discussion is still relevant. Perhaps this lecture is a good candidate for attempting to port to JAX: https://python.quantecon.org/ifp.html I think it will be challenging...

There are a number of places where citations and references have used `md` links We need to harmonise and use the proper `cite` role as per: https://manual.quantecon.org/styleguide/references.html

As discussed in #37. From @jstac: I feel there might be a useful middle ground here. For example, use `lax.scan` to run forward 100 time periods and then call that...

Timed code should be run twice in `inventory_dynamics`. Cut code cell after the timing and then start a new cell for the plots.

The lecture `cake_eating_numerical` was removed in #175 as the `jax` time was longer than `numba`. We need to review the implementations in this lecture as a sense check. A copy...

This PR just adds software versions to the `status` page

@shizejin reported that there is a misleading comparison in the introduction to JAX: ![Image](https://github.com/user-attachments/assets/d8bac241-487f-445c-aaef-36922281772a) It might relates to the timing magic we used. `%time` is sometimes influenced other factors such...

enhancement