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PyPI_Description.md

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We are currently in **Public Preview**.
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## What's new in v0.11.0
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- **Database Metadata & Introspection:** Added comprehensive `getInfo()` method and extensive catalog APIs (`SQLGetTypeInfo`, `SQLProcedures`, `SQLForeignKeys`, `SQLColumns`) for complete database schema discovery and introspection capabilities.
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- **Advanced Parameter Management:** Implemented `setinputsizes()` with SQL type constants and enhanced parameter validation through the `SQLTypes` class for precise type control in parameterized queries.
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- **Large Data Streaming Enhancements:** Extended streaming support to VARBINARY(MAX) and VARCHAR(MAX) across all fetch operations (`fetchone`, `fetchmany`, `fetchall`) with improved chunked retrieval for efficient memory usage.
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- **Output Data Conversion System:** Introduced flexible output converter framework with `add_output_converter()`, `remove_output_converter()`, and related methods for customizable data transformations during result fetching.
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- **Connection-Level Execute:** Added direct `execute()` method to Connection class for streamlined query execution without explicit cursor management.
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- **Financial Data Type Support:** Comprehensive support for SQL Server MONEY and SMALLMONEY types with proper boundary value handling and decimal precision.
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- **Enhanced Configuration APIs:** Added connection timeout control, decimal separator configuration (`getDecimalSeperator()`, `setDecimalSeperator()`), and improved global variable management.
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## What's new in v0.12.0
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- **Complex Data Type Support:** Added native support for DATETIMEOFFSET and UNIQUEIDENTIFIER data types with full round-trip handling, enabling seamless integration with Python's timezone-aware `datetime` objects and `uuid.UUID` types.
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- **Support for monetary or currency values data types:** Extended MONEY and SMALLMONEY support to `executemany` operations with proper NULL handling and decimal conversion for improved bulk financial data processing.
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- **Improved Database Metadata API:** Added `getinfo()` method with enhanced ODBC metadata retrieval, allowing users to query driver/data source information using ODBC info types.
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- **Data Processing Optimizations:** Removed aggressive datetime parsing to prevent incorrect type conversions and improve data integrity across diverse datetime formats and string data.
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For more information, please visit the project link on Github: https://github.com/microsoft/mssql-python
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setup.py

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setup(
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name='mssql-python',
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version='0.11.0',
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version='0.12.0',
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description='A Python library for interacting with Microsoft SQL Server',
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long_description=open('PyPI_Description.md', encoding='utf-8').read(),
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long_description_content_type='text/markdown',

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