QuantEcon.py
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QuantEcon
A community based Python library for quantitative economics
Fix deprecation warnings coming from `np.asarray`. Related to #723
The following deprecation notices and warnings are issued during test runs that should be fixed. @Smit-create would you be able to look into these? ``` quantecon/markov/tests/test_core.py::test_raises_non_homogeneous_state_values /Users/mmcky/work/quantecon/QuantEcon.py/quantecon/markov/core.py:230: VisibleDeprecationWarning: Creating an...
The following https://intro.quantecon.org/inequality.html#measurement shows a `numba` deprecation warning from the `quantecon` package
Additional test to guarantee randomseed is working on lqnash based on issue #349
This PR resolves #589 as it completed the migration to `@`. I left only a few `np.dot` in cases involving scalars. I noticed during the process that [the documentation](https://quanteconpy.readthedocs.io/en/latest/tools/lqnash.html) for...
* Replaced the python loops with vectorized code for enhancing the performance in `lorenz_curve` and `gini_coefficient`.
Add an "Examples" section to the [docstring](https://quanteconpy.readthedocs.io/en/latest/optimize/linprog_simplex.html#quantecon.optimize.linprog_simplex.linprog_simplex) for `linprog_simplex`.
The [old example gallery](https://github.com/quantecon/QuantEcon.notebooks) is outdated and should be archived. The [QuantEcon Lectures](https://quantecon.org/projects/#filter=lecture) provides lots of examples, and we do have examples in the documentation (i.e. docstrings), perhaps we can...
`jinja2.exceptions.UndefinedError: 'style' is undefined` (https://readthedocs.org/projects/quanteconpy/builds/20811367/) Maybe readthedocs/sphinx_rtd_theme#1463? For the moment, pin the version of `Sphinx` as < 7.0?
One of the APIs that differ in `julia` and `python` versions is: `tauchen`. Julia version is: [Doc1](http://quantecon.github.io/QuantEcon.jl/latest/api/QuantEcon.html#QuantEcon.tauchen-Union{Tuple{T3},%20Tuple{T2},%20Tuple{T1},%20Tuple{Integer,%20T1,%20T2},%20Tuple{Integer,%20T1,%20T2,%20Any},%20Tuple{Integer,%20T1,%20T2,%20Any,%20T3}}%20where%20{T1%3C:Real,%20T2%3C:Real,%20T3%3C:Real}) Python version is: [Doc2](https://github.com/QuantEcon/QuantEcon.py/blob/6ffbe570008979e22b3156dd77745990b53ac74d/quantecon/markov/approximation.py#L138) We can try to unify such APIs that differ...