Python Polars 1.34.0-beta.1

🏆 Highlights

• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)

🚀 Performance improvements

• Skip files in scan_iceberg with filter based on metadata statistics (#24547)
• Push row_index predicate for all scan types (#24537)
• Perform integer in-filtering for Parquet inequality predicates (#24525)
• Stop caching Parquet metadata after 8 files (#24513)
• Native streaming .mode() expression (#24459)

✨ Enhancements

• Add LazyFrame.{sink,collect}_batches (#23980)
• Deterministic import order for Python Polars package variants (#24531)
• Add support to display lazy query plan in marimo notebooks without needing to install matplotlib or mermaid (#24540)
• Add unstable hidden_file_prefix parameter to scan_parquet (#24507)
• Use fixed-scale Decimals (#24542)
• Add support for unsigned 128-bit integers (#24346)
• Add unstable pl.Config.set_default_credential_provider (#24434)
• Roundtrip BinaryOffset type through Parquet (#24344)
• Add opt-in unstable functionality to load interval types as Struct (#24320)
• Support reading parquet metadata from cloud storage (#24443)
• Add user guide section on AWS role assumption (#24421)
• Support unique / n_unique / arg_unique for array columns (#24406)

🐞 Bug fixes

• Add support for float inputs for duration types (#24529)
• Roundtrip empty string through hive partitioning (#24546)
• Fix potential OOB writes in unaligned IPC read (#24550)
• Fix regression error when scanning AWS presigned URL (#24530)
• Make PlPath::join for cloud paths replace on absolute paths (#24514)
• Correct dtype for cum_agg in streaming engine (#24510)
• Restore support for np.datetime64() in pl.lit() (#24527)
• Ignore Iceberg list element ID if missing (#24479)
• Fix panic on streaming full join with coalesce (#23409)
• Fix AggState on all_literal in BinaryExpr (#24461)
• Show IR sort options in explain (#24465)
• Benchmark CI import (#24463)
• Fix schema on ApplyExpr with single row literal in agg context (#24422)
• Fix planner schema for dividing pl.Float32 by int (#24432)
• Fix panic scanning from AWS legacy global endpoint URL (#24450)
• Fix iterable_to_pydf(..., infer_schema_length=None) to scan all data (#23405)
• Do not propagate struct of nulls with null (#24420)
• Be stricter with invalid NDJSON input when ignore_errors=False (#24404)
• Implement approx_n_unique for temporal dtypes and Null (#24417)

📖 Documentation

• Rename avg_birthday -> avg_age in examples aggregation (#23726)
• Update Polars Cloud user guide (#24366)
• Fix typo in set_expr_depth_warning docstring (#24427)

🛠️ Other improvements

• More release scripting (#24582)
• Again a minor fix for the setup script (#24580)
• Minor fix in release script (#24579)
• Correct release python beta version check (#24578)
• Python dependency failure (#24576)
• Always install yq (#24570)
• Deterministic import order for Python Polars package variants (#24531)
• Check Arrow FFI pointers with an assert (#24564)
• Add a couple of missing type definitions in python (#24561)
• Fix quickstart example in Polars Cloud user guide (#24554)
• Add implementations for loading min/max statistics for Iceberg (#24496)
• Update versions (#24508)
• Add additional unit tests for pl.concat (#24487)
• Refactor parametric tests for as_struct on aggstates (#24493)
• Use PlanCallback in name.map_* (#24484)
• Pin xlsvwriter to 3.2.5 or before (#24485)
• Add dataclass to hold resolved iceberg scan data (#24418)
• Fix iceberg test failure in CI (#24456)
• Move CompressionUtils to polars-utils (#24430)
• Update github template to dispatch to cloud client (#24416)

Thank you to all our contributors for making this release possible!
@Gusabary, @Kevin-Patyk, @Matt711, @alonsosilvaallende, @borchero, @c-peters, @camriddell, @coastalwhite, @dongchao-1, @dsprenkels, @itamarst, @jan-krueger, @joshuamarkovic, @juansolm, @kdn36, @nameexhaustion, @orlp, @r-brink, @ritchie46 and @stijnherfst