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While working on the #143, I noticed that several lectures are using quantecon in intro series:
lecture-python-intro % git grep 'import quantecon'
lectures/_static/lecture_specific/inequality/data.ipynb: "import quantecon as qe\n",
lectures/eigen_II.md:import quantecon as qe
lectures/input_output.md:import quantecon_book_networks
lectures/input_output.md:import quantecon_book_networks.input_output as qbn_io
lectures/input_output.md:import quantecon_book_networks.plotting as qbn_plt
lectures/input_output.md:import quantecon_book_networks.data as qbn_data
lectures/markov_chains_I.md:import quantecon as qe
lectures/markov_chains_II.md:import quantecon as qe
lectures/networks.md:import quantecon as qe
lectures/networks.md:import quantecon_book_networks.input_output as qbn_io
lectures/networks.md:import quantecon_book_networks.data as qbn_data
As a solution, @mmcky and I decided to re-write a minimal pure python package of QuantEcon.py that is WASM compatible. This issue is for tracking the progress of the package.
qe.MarkovChain
qe.random.draw
qe.DiGraph
The text was updated successfully, but these errors were encountered:
While working on the #143, I noticed that several lectures are using
quantecon
in intro series:As a solution, @mmcky and I decided to re-write a minimal pure python package of QuantEcon.py that is WASM compatible. This issue is for tracking the progress of the package.
The text was updated successfully, but these errors were encountered: