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⬆️ Bump anaconda from 2025.12 to 2026.06#562

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Jun 19, 2026
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⬆️ Bump anaconda from 2025.12 to 2026.06#562
mmcky merged 1 commit into
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dependabot/conda/anaconda-2026.06

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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 18, 2026
@mmcky mmcky merged commit d38394b into main Jun 19, 2026
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@mmcky mmcky deleted the dependabot/conda/anaconda-2026.06 branch June 19, 2026 02:10
mmcky added a commit that referenced this pull request Jun 19, 2026
anaconda 2026.06 (merged in #562) ships pandas 3.0.3, so the interim
pandas>=3 pip pin and anaconda=2025.12 are no longer needed. This branch
now carries only the lecture updates:

- pandas_panel: drop redundant future_stack=True from .stack() calls
  (the new stacking layout is the default in pandas 3.0)
- pandas_panel: text now says axis=1 in groupby is "removed" not
  "deprecated" (it is fully removed in 3.0)
- pandas: df.where(df.POP >= 20000, False) -> df.where(df.POP >= 20000)
  so the example fills non-matching rows with NaN instead of scattering
  False through the string columns

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
mmcky added a commit that referenced this pull request Jun 19, 2026
…470)

* [pandas, pandas_panel] Update lectures for pandas 3.0 compatibility

anaconda 2026.06 (merged in #562) ships pandas 3.0.3, so the interim
pandas>=3 pip pin and anaconda=2025.12 are no longer needed. This branch
now carries only the lecture updates:

- pandas_panel: drop redundant future_stack=True from .stack() calls
  (the new stacking layout is the default in pandas 3.0)
- pandas_panel: text now says axis=1 in groupby is "removed" not
  "deprecated" (it is fully removed in 3.0)
- pandas: df.where(df.POP >= 20000, False) -> df.where(df.POP >= 20000)
  so the example fills non-matching rows with NaN instead of scattering
  False through the string columns

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

* Address Copilot grammar feedback

- pandas: "replace the rest rows" -> "replace the remaining rows"
- pandas_panel: add commas around the introductory phrase / before "as"
  to fix the run-on sentence about groupby axis=1 removal

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

---------

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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