)

This PR updates the notebooks/multimodal/multimodal_dataframe.ipynb
notebook to include a comprehensive example of extracting EXIF metadata
from images.

  Key Changes:
   * Added a new section "7. Extract EXIF metadata from images".
* Implemented a custom remote function (UDF) using pillow and requests
to retrieve and parse EXIF tags from image URLs.
* Demonstrated how to apply this function efficiently within a BigFrames
workflow to analyze image metadata.

This addition provides users with a practical pattern for handling image
metadata and using custom libraries within BigQuery DataFrames.

Fixes #<478952827> 🦕

---------

Co-authored-by: Garrett Wu <6505921+GarrettWu@users.noreply.github.com>
Co-authored-by: Chelsea Lin <chelsealin@google.com>
Co-authored-by: Shenyang Cai <sycai@users.noreply.github.com>

Thank you for opening a Pull Request! Before submitting your PR, there
are a few things you can do to make sure it goes smoothly:
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/python-bigquery-dataframes/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)

Fixes #<478952827> 🦕

This PR updates notebooks/multimodal/multimodal_dataframe.ipynb to use
public APIs (bigframes.bigquery.obj and
bigframes.bigquery.to_json_string) instead of internal operations for
retrieving runtime JSON strings.

Fixes #<issue_number_goes_here> 🦕

Thank you for opening a Pull Request! Before submitting your PR, there
are a few things you can do to make sure it goes smoothly:
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/python-bigquery-dataframes/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)

Fixes #<issue_number_goes_here> 🦕

Fixes internal issue 481740136 🦕

#2448)

Thank you for opening a Pull Request! Before submitting your PR, there
are a few things you can do to make sure it goes smoothly:
- [ ] Make sure to open an issue as a
[bug/issue](https://github.com/googleapis/python-bigquery-dataframes/issues/new/choose)
before writing your code! That way we can discuss the change, evaluate
designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)

Fixes #<issue_number_goes_here> 🦕

feat: update image to
us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:1a2a85ab507aea26d787c06cc7979decb117164c81dd78a745982dfda80d4f68

This PR updates `notebooks/multimodal/multimodal_dataframe.ipynb` to
demonstrate PDF text extraction a chunking using custom BigQuery Python
UDFs with the `pypdf` library.

Fixes #<478952827> 🦕

Updates the multimodal_dataframe.ipynb notebook to remove dependencies
on the internal
  .blob accessor.

Fixes #<478952827> 🦕

Fixes internal issue 427767336 🦕

This change fixes the`test_read_gbq_w_ambigous_name` failures in #2248

Fixes internal issue 417774347 🦕

PR created by the Librarian CLI to initialize a release. Merging this PR
will auto trigger a release.

Librarian Version: v0.7.0
Language Image:
us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:1a2a85ab507aea26d787c06cc7979decb117164c81dd78a745982dfda80d4f68
<details><summary>bigframes: 2.36.0</summary>

##
[2.36.0](v2.35.0...v2.36.0)
(2026-02-17)

### Features

* Initial support for biglake iceberg tables (#2409)
([ae35a98](ae35a989))

* add bigquery.ai.generate_table function (#2453)
([b925aa2](b925aa24))

### Documentation

* fix generate_text and generate_table input docs (#2455)
([078bd32](078bd32e))

* update multimodal dataframe notebook to use public APIs (#2456)
([342fa72](342fa723))

* use direct API for pdf chunk and pdf extract (#2452)
([543ce52](543ce52c))

* use direct API for audio transcription (#2447)
([59cbc5d](59cbc5db))

* Add EXIF metadata extraction example to multimodal notebook (#2429)
([84c6f88](84c6f883))

* Update multimodal notebook to use public runtime helpers (#2451)
([e36dd8b](e36dd8b4))

</details>