Bump polars from 1.36.1 to 1.37.0

[dependabot]

Bumps polars from 1.36.1 to 1.37.0.

Release notes

Sourced from polars's releases.

Python Polars 1.37.0

🚀 Performance improvements

• Speed up SQL interface "ORDER BY" clauses (#26037)
• Add fast kernel for is_nan and use it for numpy NaN->null conversion (#26034)
• Optimize ArrayFromIter implementations for ObjectArray (#25712)
• New streaming NDJSON sink pipeline (#25948)
• New streaming CSV sink pipeline (#25900)
• Dispatch partitioned usage of sink_* functions to new-streaming by default (#25910)
• Replace ryu with faster zmij (#25885)
• Reduce memory usage for .item() count in grouped first/last (#25787)
• Skip schema inference if schema provided for scan_csv/ndjson (#25757)
• Add width-aware chunking to prevent degradation with wide data (#25764)
• Use new sink pipeline for write/sink_ipc (#25746)
• Reduce memory usage when scanning multiple parquet files in streaming (#25747)
• Don't call cluster_with_columns optimization if not needed (#25724)

✨ Enhancements

• Add new pl.PartitionBy API (#26004)
• ArrowStreamExportable and sink_delta (#25994)
• Release musl builds (#25894)
• Implement streaming decompression for CSV COUNT(*) fast path (#25988)
• Add nulls support for rolling_mean_by (#25917)
• Add lazy collect_all (#25991)
• Add streaming decompression for NDJSON schema inference (#25992)
• Improved handling of unqualified SQL JOIN columns that are ambiguous (#25761)
• Drop Python 3.9 support (#25984)
• Expose record batch size in {sink,write}_ipc (#25958)
• Add null_on_oob parameter to expr.get (#25957)
• Suggest correct timezone if timezone validation fails (#25937)
• Support streaming IPC scan from S3 object store (#25868)
• Implement streaming CSV schema inference (#25911)
• Support hashing of meta expressions (#25916)
• Improve SQLContext recognition of possible table objects in the Python globals (#25749)
• Add pl.Expr.(min|max)_by (#25905)
• Improve MemSlice Debug impl (#25913)
• Implement or fix json encode/decode for (U)Int128, Categorical, Enum, Decimal (#25896)
• Expand scatter to more dtypes (#25874)
• Implement streaming CSV decompression (#25842)
• Add Series sql method for API consistency (#25792)
• Mark Polars as safe for free-threading (#25677)
• Support Binary and Decimal in arg_(min|max) (#25839)
• Allow Decimal parsing in str.json_decode (#25797)
• Add shift support for Object data type (#25769)
• Add missing Series.arr.mean (#25774)
• Allow scientific notation when parsing Decimals (#25711)

🐞 Bug fixes

... (truncated)

Commits

• 1674b37 Python Polars 1.37.0 (#26038)
• 4c49bf5 perf: Speed up SQL interface "ORDER BY" clauses (#26037)
• c1b9d86 chore: Update rust compiler (#26017)
• 68911e4 chore: Improve csv test coverage (#25980)
• 5f25b4f perf: Add fast kernel for is_nan and use it for numpy NaN->null conversion (#...
• 59463ce docs(python): Fix display of deprecation warning (#26010)
• 21721eb fix(python): Release GIL on collect_batches (#26033)
• 778dbb6 fix: Missing buffer update in String is_in Parquet pushdown (#26019)
• 807cfc5 fix: Make struct.with_fields data model coherent (#25610)
• e6d6238 refactor(rust): Use from_any_values_and_dtype in Series::extend_constant ...
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[O957]

LGTM.