Remove jupylite code and use wasm pyodide

README.md

@@ -1,2 +1,38 @@
-# project.lecture-wasm
-A project repository to test WASM compatibility and limitations for QuantEcon Lectures
+# QuantEcon WASM project
+
+This repository contains a subset of the [lecture-python-intro](https://intro.quantecon.org/intro.html).
+
+This project is powered by Pyodide kernel which allows us to run the lectures in the browser without
+any installaion.
+
+## Development
+
+The script `update_lectures.py` is used to fetch the latest version of lectures from the
+[wasm branch of lecture-python-intro series](https://github.com/QuantEcon/lecture-python-intro/tree/wasm).
+
+In order to build and test the project locally, please install the required libraries using
+```
+pip install -r requirements.txt
+```
+
+And run a local server using
+```
+teachbooks serve
+```
+
+To stop the server use:
+```
+teachbooks serve stop
+```
+
+### Update a lecture?
+
+In order to update any lecture, it's recommended to update the same lecture in the
+[wasm branch of lecture-python-intro series](https://github.com/QuantEcon/lecture-python-intro/tree/wasm) and 
+run the script
+```
+python update_lectures.py
+```
+
+This allows us the keep all the lectures up-to-date in a single place and keep this repository a mirror of the 
+main repository.

_config_copy.yml

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+author: QuantEcon team
+
+execute:
+  execute_notebooks: "off"
+
+only_build_toc_files: true
+
+html:
+  favicon : "figures/favicon.ico"
+  baseurl :  "https://quantecon.org/"
+
+sphinx:
+  config:
+    html_js_files:
+    - https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js
+    thebe_config:
+      use_thebe_lite: true
+      exclude_patterns: ["**/_*.yml", "**/*.md", "**/*.ipynb"]
+    html_theme_options:
+      logo:
+        text: QuantEcon Intro Lectures
+        image_light: figures/qe-logo.png
+        image_dark: figures/qe-logo.png
+      authors:
+        - name: Thomas J. Sargent
+          url: http://www.tomsargent.com/
+        - name: John Stachurski
+          url: https://johnstachurski.net/
+      header_organisation_url: https://quantecon.org
+      header_organisation: QuantEcon
+      repository_url: https://github.com/QuantEcon/lecture-python-advanced.myst
+      nb_repository_url: https://github.com/QuantEcon/lecture-python-advanced.notebooks
+      twitter: quantecon
+      twitter_logo_url: https://assets.quantecon.org/img/qe-twitter-logo.png
+      og_logo_url: https://assets.quantecon.org/img/qe-og-logo.png
+      description: This website presents a set of lectures on advanced quantitative economic modeling, designed and written by Thomas J. Sargent and John Stachurski.
+      keywords: Python, QuantEcon, Quantitative Economics, Economics, Sloan, Alfred P. Sloan Foundation, Tom J. Sargent, John Stachurski
+      analytics:
+        google_analytics_id: G-KZLV7PM9LL
+      launch_buttons:
+        thebe:                true
+        #colab_url             : https://colab.research.google.com
+    mathjax3_config:
+      tex:
+        macros:
+          "argmax": "arg\\,max"
+          "argmin": "arg\\,min"
+          "col": "col"
+          "Span":  "span"
+          "epsilon": "\\varepsilon"
+          "EE": "\\mathbb{E}"
+          "PP": "\\mathbb{P}"
+          "RR": "\\mathbb{R}"
+          "NN": "\\mathbb{N}"
+          "ZZ": "\\mathbb{Z}"
+          "aA": "\\mathcal{A}"
+          "bB": "\\mathcal{B}"
+          "cC": "\\mathcal{C}"
+          "dD": "\\mathcal{D}"
+          "eE": "\\mathcal{E}"
+          "fF": "\\mathcal{F}"
+          "gG": "\\mathcal{G}"
+          "hH": "\\mathcal{H}"
+    html_show_copyright: false
+    html_last_updated_fmt: '%B %-d, %Y'
+    html_static_path: ["figures"] # add folders that contain files that need to be included, such as the location of the logo(s)
+    mathjax3_config:
+      chtml: {
+        mtextInheritFont: true # To typeset text within math prettier
+      }
+  extra_extensions:
+    - sphinx.ext.imgconverter
+    - jupyterbook_patches
+    - download_link_replacer
+    - sphinx.ext.extlinks
+    - sphinx_image_inverter
+    - sphinx_exercise
+    - sphinx_proof
+    - sphinx_tojupyter
+    - sphinx_reredirects
+
+bibtex_bibfiles: 
+  - references.bib

book/_build/html/.buildinfo

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+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 50cb353efd1d91078461a3644c2c991f
+tags: 645f666f9bcd5a90fca523b33c5a78b7

book/_build/html/_sources/about.md

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+# About These Lectures
+
+
+## About
+
+This lecture series introduces quantitative economics using elementary
+mathematics and statistics plus computer code written in
+[Python](https://www.python.org/).  
+
+The lectures emphasize simulation and visualization through code as a way to
+convey ideas, rather than focusing on mathematical details.
+
+Although the presentation is quite novel, the ideas are rather foundational.
+
+We emphasize the deep and fundamental importance of economic theory, as well
+as the value of analyzing data and understanding stylized facts.
+
+The lectures can be used for university courses, self-study, reading groups or
+workshops. 
+
+Researchers and policy professionals might also find some parts of the series
+valuable for their work.  
+
+We hope the lectures will be of interest to students of economics
+who want to learn both economics and computing, as well as students from
+fields such as computer science and engineering who are curious about
+economics.
+
+## Level
+
+The lecture series is aimed at undergraduate students. 
+
+The level of the lectures varies from truly introductory (suitable for first
+year undergraduates or even high school students) to more intermediate.
+
+The
+more intermediate lectures require comfort with linear algebra and some
+mathematical maturity (e.g., calmly reading theorems and trying to understand
+their meaning).  
+
+In general, easier lectures occur earlier in the lecture
+series and harder lectures occur later.
+
+We assume that readers have covered the easier parts of the QuantEcon lecture
+series [on Python
+programming](https://python-programming.quantecon.org/intro.html).  
+
+In
+particular, readers should be familiar with basic Python syntax including
+Python functions. Knowledge of classes and Matplotlib will be beneficial but
+not essential.  
+
+## Credits
+
+In building this lecture series, we had invaluable assistance from research
+assistants at QuantEcon, as well as our QuantEcon colleagues. Without their
+help this series would not have been possible.
+
+In particular, we sincerely thank and give credit to
+
+- [Aakash Gupta](https://github.com/AakashGfude)
+- [Shu Hu](https://github.com/shlff)
+- Jiacheng Li
+- [Jiarui Zhang](https://github.com/Jiarui-ZH)
+- [Smit Lunagariya](https://github.com/Smit-create)
+- [Maanasee Sharma](https://github.com/maanasee)
+- [Matthew McKay](https://github.com/mmcky)
+- [Margaret Beisenbek](https://github.com/mbek0605)
+- [Phoebe Grosser](https://github.com/pgrosser1)
+- [Longye Tian](https://github.com/longye-tian)
+- [Humphrey Yang](https://github.com/HumphreyYang)
+- [Sylvia Zhao](https://github.com/SylviaZhaooo)
+
+We also thank Noritaka Kudoh for encouraging us to start this project and providing thoughtful suggestions.
+