lecture-python.myst
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Quantitative Economics with Python
This PR - [x] upgrades to `anaconda=2024.02` - [x] upgrades to `CUDA=12.3.1` this PR is part of https://github.com/QuantEcon/meta/issues/130 requires: #387 - [ ] this PR is waiting on `interpolations` to...
This PR migrates duplicate lectures in https://github.com/QuantEcon/lecture-python-intro/issues/282, `scalar_dynam`, and `complex_and_trig`.
Hi @mmcky, `pymc.sample` is deprecated after v5.10.0 as shown [here](https://www.pymc.io/projects/docs/en/v5.10.0/api/generated/pymc.sample.html#pymc-sample).
We will need to add sphinx-reredirect to the docker build environment - [ ] remove manual install step from `CI.yml`
It is currently taking the cache almost 3 hours to run this lecture set (from scratch). There are a number of issues reported by tensor flow such as: ``` /__w/lecture-python.myst/lecture-python.myst/lectures/wealth_dynamics.md:...
Thanks @oyamad, for the discussion in #355 . I move our discussion there to this issue. The ergodic theory states a perfect benchmark, but I think it could also be...
Here are two articles on using Bayesian updates to predict the persistence of inflation that @jstac and I think might be a good application on Bayesian updates: https://www.federalreserve.gov/econres/notes/feds-notes/anchored-or-not-a-short-summary-of-a-bayesian-approach-to-the-persistence-of-inflation-20220408.html It just...
* This part https://github.com/QuantEcon/lecture-python.myst/blame/main/lectures/lake_model.md#L260-L274 is not very wise (computing the stationary distribution of a 2-state (column-)stochastic matrix by iteration). As shown in the [Finite Markov Chains](https://python.quantecon.org/finite_markov.html#example) chapter, and to be...
Hi @jstac and @mmcky , I noticed that ``(R)`` in the following text is not compiled properly:
Hi @mmcky , the first issue I noticed by comparing downloadable notebooks from ``RST`` and ``MYST`` is that - the QuantEcon brand is missing in all notebooks from ``MYST`` For...