Seed the French edition: 26 lectures translated with Opus 4.8

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TRANSLATION-REPORT.md

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+# Translation Report
+
+**Generated**: 2026-07-14T23:51:01.096Z
+
+## Summary
+
+- **Total Lectures**: 26
+- **Successfully Translated**: 26
+- **Failed**: 0
+- **Total Tokens Used**: 687,236
+- **Total Time**: 34.0 minutes
+- **Average Time per Lecture**: 78.4 seconds
+
+## Configuration
+
+- **Source**: /Users/mmcky/work/quantecon/lecture-python-programming
+- **Target**: /Users/mmcky/work/quantecon/lecture-python-programming.fr
+- **Source Language**: en
+- **Target Language**: fr
+- **Model**: claude-opus-4-8
+- **Localization Rules**: code-comments, figure-labels, i18n-font-config
+- **Glossary Terms**: 364
+
+## Next Steps
+
+1. Review translated lectures in `/Users/mmcky/work/quantecon/lecture-python-programming.fr`
+2. Set up repo-level files if not already present:
+   - `.github/workflows/` — CI/CD and `action-translation` sync workflow
+   - `environment.yml` or `requirements.txt` — Python dependencies
+   - `LICENSE`
+3. Build to verify: `jupyter-book build /Users/mmcky/work/quantecon/lecture-python-programming.fr`
+4. Push to GitHub repository
+5. Configure `action-translation` for incremental updates
+
+---
+
+Generated by `translate init`

lectures/_config.yml

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+title: Python Programming for Economics and Finance
+author: Thomas J. Sargent & John Stachurski
+logo: _static/qe-logo.png
+description: This website presents a set of lectures on python programming for economics, designed and written by Thomas J. Sargent and John Stachurski.
+
+execute:
+  execute_notebooks: "cache"
+  timeout: 600 # 10 minutes
+
+html:
+  baseurl: https://python-programming.quantecon.org/
+
+latex:
+  latex_documents:
+     targetname: quantecon-python-programming.tex
+
+sphinx:
+  extra_extensions: [sphinx_multitoc_numbering, sphinxext.rediraffe, sphinx_tojupyter, sphinx_exercise, sphinx_togglebutton, sphinx.ext.intersphinx]
+  config:
+    # bibtex_reference_style: author_year #TODO: enable if bibtex bibliography is used in series
+    # false-positive links
+    linkcheck_ignore: ['https://github.com/matplotlib/matplotlib/blob/v3.6.2/lib/matplotlib/axes/_axes.py#L1417-L1669',
+                       'https://ieeexplore.ieee.org/document/8757088',
+                       'https://www.sciencedirect.com/science/article/pii/S1477388021000177',
+                       'https://keras.io/',
+                       'https://data.oecd.org/',
+                       'https://www.reddit.com/',
+                       'https://openai.com',
+                       'https://chatgpt.com/',
+                       'https://fred.stlouisfed.org/.*']
+    nb_merge_streams: true
+    # sphinx-exercise
+    exercise_style: "solution_follow_exercise"
+    html_favicon: _static/lectures-favicon.ico
+    html_theme: quantecon_book_theme
+    html_static_path: ['_static']
+    html_theme_options:
+      authors:
+        - name: Thomas J. Sargent
+          url: http://www.tomsargent.com/
+        - name: John Stachurski
+          url: https://johnstachurski.net/      
+      dark_logo: quantecon-logo-transparent.png
+      header_organisation_url: https://quantecon.org
+      header_organisation: QuantEcon
+      repository_url: https://github.com/QuantEcon/lecture-python-programming
+      nb_repository_url: https://github.com/QuantEcon/lecture-python-programming.notebooks
+      path_to_docs: lectures
+      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 python programming for economics, 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-X7DH1M2DPY
+      sticky_contents: true
+      launch_buttons:
+        notebook_interface        : classic  # The interface interactive links will activate ["classic", "jupyterlab"]
+        colab_url                 : https://colab.research.google.com
+        thebe                     : false  # Add a thebe button to pages (requires the repository to run on Binder)
+    intersphinx_mapping: 
+      jax: 
+        - "https://jax.quantecon.org/"
+        - null
+    mathjax_path: https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
+    rediraffe_redirects:
+      index_toc.md: intro.md
+    tojupyter_static_file_path: ["source/_static", "_static"]
+    tojupyter_target_html: true
+    tojupyter_urlpath: "https://python-programming.quantecon.org/"
+    tojupyter_image_urlpath: "https://python-programming.quantecon.org/_static/"
+    tojupyter_lang_synonyms: ["ipython", "ipython3", "python"]
+    tojupyter_kernels:
+      python3:
+        kernelspec:
+          display_name: "Python"
+          language: python3
+          name: python3
+        file_extension: ".py"
+    tojupyter_images_markdown: true

lectures/_static/includes/header.raw

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+.. raw:: html
+
+		<div id="qe-notebook-header" align="right" style="text-align:right;">
+			<a href="https://quantecon.org/" title="quantecon.org">
+				<img style="width:250px;display:inline;" width="250px" src="https://assets.quantecon.org/img/qe-menubar-logo.svg" alt="QuantEcon">
+			</a>
+		</div>

lectures/_static/includes/lecture_howto_py.raw

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+.. raw:: html
+
+		<div id="qe-notebook-header" style="text-align:right;">
+			<a href="https://quantecon.org/" title="quantecon.org">
+				<img style="width:250px;display:inline;" src="https://assets.quantecon.org/img/qe-menubar-logo.svg" alt="QuantEcon">
+			</a>
+		</div>

lectures/_static/lecture_specific/about_py/qs.py

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+
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy.stats import norm
+from matplotlib import cm
+
+xmin, xmax = -4, 12
+x = 10
+α = 0.5
+
+m, v = x, 10
+
+xgrid = np.linspace(xmin, xmax, 200)
+
+fig, ax = plt.subplots()
+
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.spines['left'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.spines['bottom'].set_position(('data', 0))
+
+ax.set_ylim(-0.05, 0.5)
+ax.set_xticks((x,))
+ax.set_xticklabels((r'$x$', ), fontsize=18)
+ax.set_yticks(())
+
+K = 3
+for i in range(K):
+    m = α * m
+    v = α * α * v + 1
+    f = norm(loc=m, scale=np.sqrt(v))
+    k = (i + 0.5) / K
+    ax.plot(xgrid, f.pdf(xgrid), lw=1, color='black', alpha=0.4)
+    ax.fill_between(xgrid, 0 * xgrid, f.pdf(xgrid), color=cm.jet(k), alpha=0.4)
+
+
+ax.annotate(r'$Q(x,\cdot)$', xy=(6.6, 0.2),  xycoords='data',
+            xytext=(20, 90), textcoords='offset points', fontsize=16,
+            arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=-0.2"))
+ax.annotate(r'$Q^2(x,\cdot)$', xy=(3.6, 0.24),  xycoords='data',
+            xytext=(20, 90), textcoords='offset points', fontsize=16,
+            arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=-0.2"))
+ax.annotate(r'$Q^3(x,\cdot)$', xy=(-0.2, 0.28),  xycoords='data',
+            xytext=(-90, 90), textcoords='offset points', fontsize=16,
+            arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=0.2"))
+fig.show()

lectures/_static/lecture_specific/pandas/data/test_pwt.csv

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+"country","country isocode","year","POP","XRAT","tcgdp","cc","cg"
+"Argentina","ARG","2000","37335.653","0.9995","295072.21869","75.716805379","5.5788042896"
+"Australia","AUS","2000","19053.186","1.72483","541804.6521","67.759025993","6.7200975332"
+"India","IND","2000","1006300.297","44.9416","1728144.3748","64.575551328","14.072205773"
+"Israel","ISR","2000","6114.57","4.07733","129253.89423","64.436450847","10.266688415"
+"Malawi","MWI","2000","11801.505","59.543808333","5026.2217836","74.707624181","11.658954494"
+"South Africa","ZAF","2000","45064.098","6.93983","227242.36949","72.718710427","5.7265463933"
+"United States","USA","2000","282171.957","1","9898700","72.347054303","6.0324539789"
+"Uruguay","URY","2000","3219.793","12.099591667","25255.961693","78.978740282","5.108067988"