Smit Lunagariya

Vectorize lorenz_curve and gini

9

* Replaced the python loops with vectorized code for enhancing the performance in `lorenz_curve` and `gini_coefficient`.

Unify QuantEcon.py and QuantEcon.jl APIs?

6

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...

Fix Quantecon documentation site

3

See: https://quanteconpy.readthedocs.io/en/latest/optimize/linprog_simplex.html The function arguments are not displayed properly

ENH: Add uarray support for `scipy.linalg`

4

* Reference issue: https://github.com/scipy/scipy/issues/14353

ENH: uarray support for `scipy.signal`

12

Reference issue: https://github.com/scipy/scipy/issues/14353 Reference PR from which I followed the implementation: https://github.com/scipy/scipy/pull/14356/ cc @rgommers

BENCH: Benchmarks with meson optimization levels

2

Hi @rgommers, I have written a CI script for benchmarking and uploading the results to GitHub Actions with meson optimization levels(#36). See: https://github.com/Smit-create/scipy/blob/for_run/.github/workflows/linux.yml I am uploading results here too: https://drive.google.com/drive/folders/1x9sBoOGLKMf6VWV0jNj0_p6Jgm35HDAM?usp=sharing...

C: Support more intrinsic functions

7

https://github.com/lfortran/lfortran/pull/1747

Support `Literal` annotation

3

Fixes #1939

Vectorized B in opt_savings

5

https://github.com/QuantEcon/lecture-jax/pull/88#issuecomment-1667001277