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⬆️ Bump anaconda from 2025.12 to 2026.06#923

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⬆️ Bump anaconda from 2025.12 to 2026.06#923
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dependabot/conda/anaconda-2026.06

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@dependabot dependabot Bot commented on behalf of github Jun 20, 2026

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Bumps anaconda from 2025.12 to 2026.06.

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Bumps anaconda from 2025.12 to 2026.06.

---
updated-dependencies:
- dependency-name: anaconda
  dependency-version: '2026.06'
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added conda Pull requests that update conda code dependencies Pull requests that update a dependency file labels Jun 20, 2026
mmcky added a commit that referenced this pull request Jun 21, 2026
Sets execute_notebooks: force so CI re-executes every lecture under the
new stack (pandas 3.0.3, numba 0.65.1, numpy 2.4.6, ...) instead of
reusing the main-branch jupyter-cache built under anaconda 2025.12.

Validation-only commit for PR #923. REVERT BEFORE MERGE.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
@mmcky mmcky force-pushed the dependabot/conda/anaconda-2026.06 branch from f9887d6 to 237a3ab Compare June 21, 2026 05:57
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github-actions Bot commented Jun 21, 2026

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📖 Netlify Preview Ready!

Preview URL: https://pr-923--sunny-cactus-210e3e.netlify.app

Commit: 237a3ab


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mmcky added a commit that referenced this pull request Jun 21, 2026
- execute_notebooks: force  -> re-execute every lecture under the new stack
  (pandas 3.0.3, numba 0.65.1, numpy 2.4.6, scipy 1.17.1, ...) with
  -W --keep-going so all execution failures are collected, not just the first.
- Upload Execution Reports (notebooks): if always() so reports survive a
  spot-runner cancellation.

Validation-only commit for PR #923. REVERT BEFORE MERGE.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
@mmcky

mmcky commented Jun 21, 2026

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Blocked by #924 — labeled do-not-merge.

A full forced re-execution of all lectures under anaconda 2026.06 (pandas 3.0.3) shows that merging this bump breaks hansen_singleton_1982 and hansen_singleton_1983. Both fail at import of pandas_datareader, which is incompatible with pandas 3.0 (TypeError: deprecate_kwarg() missing 1 required positional argument: 'new_arg_name'). They execute cleanly on main (pandas 2.3.3), so this is a genuine regression introduced by the upgrade. Root cause and the suggested fix (drop pandas_datareader; fetch FRED + Fama-French directly) are in #924.

Note: the green preview check on this PR only proves the conda environment solves — it does not re-execute the notebooks, because the build uses execute_notebooks: "cache" and restores the cache from main. The regression only surfaces under a forced full execution (run 27897336159).

Two other lectures (ar1_bayes, ar1_turningpts) also fail in that run, but for an unrelated, pre-existing arviz issue (already red on main's weekly cache build) — not caused by this bump; see the note in #924. (ols additionally hit a transient HTTP 500 on a data download — not a regression.)

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