Integrating Polars DataFrame - #674
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added 7 commits
May 15, 2026 16:28
- Add 'Optional Dependencies' section to install.rst (pyarrow, polars) - Add Polars DataFrame section to getting-started.rst with streaming examples - Add 'Using Polars' and 'Using Apache Arrow' sections to advanced-topics.rst - Add DataFrame library options overview to index.rst - Add Polars feature entry to CHANGELOG.md (v5.105.0) This addresses the documentation gap between code and docs for the Polars integration (20+ code nodes) and Arrow features (32 nodes).
Allow users to install Polars support with: pip install saspy[polars]
Added Test scenarios to cover Polars dataframe support
added files to ignore
Added files to ignore
Updated the documentation to include Polars related contents
Add/Update code modules to support Polars Dataframe
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@ahmedanadwc, hope to review this pull request soon... We have seen it, but haven't had time to review it yet... |
added 6 commits
September 3, 2026 10:39
- Add 'Optional Dependencies' section to install.rst (pyarrow, polars) - Add Polars DataFrame section to getting-started.rst with streaming examples - Add 'Using Polars' and 'Using Apache Arrow' sections to advanced-topics.rst - Add DataFrame library options overview to index.rst - Add Polars feature entry to CHANGELOG.md (v5.105.0) This addresses the documentation gap between code and docs for the Polars integration (20+ code nodes) and Arrow features (32 nodes).
Allow users to install Polars support with: pip install saspy[polars]
Added Test scenarios to cover Polars dataframe support
added files to ignore
Added files to ignore
Updated the documentation to include Polars related contents
Add/Update code modules to support Polars Dataframe
Signed-off-by: Ahmed Al-Attar <101472672+ahmedanadwc@users.noreply.github.com>
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This fork includes a major feature set centered around Polars and Apache Arrow integration.
Feature Category
Summary of Enhancements
This is feature-rich branch that adds high-performance data processing capabilities to saspy.
standard Pandas-based approach for large datasets.
plugin.
Generated-by: OpenCode and Google Gemini