Who contributed to Google on May 7, 2026?

1 developer shipped this update, including copybara-service[bot].

What were the notable Google updates?

fix(sqlalchemy-bigquery): Drop support for Python 3.8 and 3.9 (#16956), fix(crc32c): Drop support for Python 3.8 and 3.9 (#16955), and fix(dns): Drop support for Python 3.9 (#16954).

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The Wire · Showcase

GOOGLE CLOUD DROPS PYTHON 3.8 AND 3.9 ACROSS THE STACK

By RepoJournal · Filed 06:03 UTC on May 7, 2026 · About Google

1 person shipped this

copybara-service[bot] @copybara-service[bot] 4 cited

Three critical libraries—sqlalchemy-bigquery, google-crc32c, and google-cloud-dns—are cutting off Python 3.8 and 3.9 support simultaneously, forcing a coordinated migration for any production workload still on those versions.

This is a coordinated push to Python 3.10 minimum across Google's cloud Python ecosystem [1] [2] [3]. sqlalchemy-bigquery, google-crc32c, and google-cloud-dns all moved their baseline in the same window—if you're running BigQuery queries through SQLAlchemy or using DNS clients on older Python, this breaks you. The JAX team, meanwhile, is cleaning up its build system by consolidating the py_strict_* aliases into a unified strict_deps argument in Bazel rules [4], simplifying dependency enforcement without breaking existing workflows. On the GenAI side, python-genai is graduating from experimental status by removing legacy streaming event types and experimental warnings [6] [7], signaling API stability for production use. JAX's test infrastructure also moved from cron-based post-processing to inline BigQuery uploads [5], trading 30 seconds of latency for tighter observability—though runtime jumps to 2 minutes on dev machines. The Pallas kernel API got unwrapped [8] and now supports hijax in mpmd_map [9], reducing abstraction overhead for GPU compute.

Action items

→ Audit production services for Python 3.8/3.9 and plan migration to 3.10+ before next sqlalchemy-bigquery, crc32c, and dns releases ship googleapis/google-cloud-python [immediate]
→ Update Bazel configurations to use strict_deps instead of deprecated py_strict_* rules google/jax [plan]
→ If using GenAI python-genai, expect API surface to harden—experimental warnings now gone, test against current main googleapis/python-genai [monitor]

References

[1] fix(sqlalchemy-bigquery): Drop support for Python 3.8 and 3.9 (#16956) googleapis/google-cloud-python
[2] fix(crc32c): Drop support for Python 3.8 and 3.9 (#16955) googleapis/google-cloud-python
[3] fix(dns): Drop support for Python 3.9 (#16954) googleapis/google-cloud-python
[4] [bazel] support `strict_deps` argument in `py_*` rules & remove deprecated `py_strict_*` aliases. ↗ google/jax
[5] [gh] Post-process workflow test results and load into BigQuery. ↗ google/jax
[6] chore: Remove legacy streaming event types from InteractionSseEvent. ↗ googleapis/python-genai
[7] chore: Remove experimental warnings for interactions googleapis/python-genai
[8] [pallas] Removed one level of wrapping from `pl.kernel` google/jax
[9] [Pallas] Add hijax support to mpmd_map ↗ google/jax

Quick answers

What shipped in Google on May 7, 2026?: Three critical libraries—sqlalchemy-bigquery, google-crc32c, and google-cloud-dns—are cutting off Python 3.8 and 3.9 support simultaneously, forcing a coordinated migration for any production workload still on those versions. In total, 38 commits and 37 pull requests landed.
Who contributed to Google on May 7, 2026?: 1 developer shipped this update, including copybara-service[bot].
What were the notable Google updates?: fix(sqlalchemy-bigquery): Drop support for Python 3.8 and 3.9 (#16956), fix(crc32c): Drop support for Python 3.8 and 3.9 (#16955), and fix(dns): Drop support for Python 3.9 (#16954).

JAX FIXES REMAT3 CONSTANT HANDLING CRASH, GOOGLE CLOUD PYTHON CENTRALIZES REST TRANSCODING

Matthew Johnson patched a critical remat3 regression where closed-over constants were silently dropped, causing immediate crashes in production rematerialization pipelines [ref:1].

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JAX TIGHTENS XLA OPTIMIZATION CONTROLS, GOOGLE CLOUD PYTHON SETS UP FEATURE GATES

JAX makes XLA optimization levels human-readable while Google Cloud Python client libraries prepare a unified feature gating system for observability.

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Google 2 days ago

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Google's AI SDK gains native audio processing while the core Python cloud libraries ship critical stability fixes across the stack.

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Google 3 days ago

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