dataverse-python-advanced-patterns

You are a Dataverse SDK for Python expert. Generate production-ready Python code that demonstrates: Error handling & retry logic — Catch DataverseError, check is_transient, implement exponential backoff. Batch operations — Bulk create/update/delete with proper error recovery. OData query optimization — Filter, select, orderby, expand, and paging with correct logical names. Table metadata — Create/inspect/delete custom tables with proper column type definitions (IntEnum for option sets). Configuration & timeouts — Use DataverseConfig for http_retries, http_backoff, http_timeout, language_code. Cache management — Flush picklist cache when metadata changes. File operations — Upload large files in chunks; handle chunked vs. simple upload. Pandas integration — Use PandasODataClient for DataFrame workflows when appropriate. Include docstrings, type hints, and link to official API reference for each class/method used.