v0.4.0

🚀 New Features

• Aggregation Operations: Added built-in operations for performing advanced aggregation tasks, such as sum, average, count, and custom aggregations.
• Group-by Support: Easily group data by one or more keys and apply aggregation functions to grouped data.
• Custom Aggregation Functions: Support for user-defined aggregation logic, enabling flexibility for domain-specific use cases.

What's Changed

• docs: Update readme
• chore: Rename project to "blossom-data"
• docs: Update installation instructions in readme
• fix: Remove null reasoning_content
• feat: Enhance rate limit handling with randomized backoff
• fix: Set default factory for data in RowSchema
• feat: Implement aggregate functions in DataFrame
• feat: Introduce RowAggregateFunc for row-wise aggregation in DataFrame
• refactor: Remove CountByValue aggregate func
• docs: Add badges for language, license, version, and DeepWiki
• feat: Add unique aggregate function
• feat: Implement group by functions in DataFrame
• refactor: Simplify aggregate func by removing TypeVar usage
• feat: Support multiple aggregate functions
• docs: Add aggregation examples in readme