PySpark Pipeline Framework: Configuration-Driven Pipelines for the Python Ecosystem
How pyspark-pipeline-framework brings configuration-driven architecture, lifecycle hooks, and resilience patterns to PySpark
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How pyspark-pipeline-framework brings configuration-driven architecture, lifecycle hooks, and resilience patterns to PySpark
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Configuring Gastown for production use with custom role contexts, Claude Code hooks, git guards, and file guards to enforce principle of least privilege across AI agents
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How to use the dataconf library to parse HOCON, JSON, YAML, and properties files directly into Python dataclasses with full type safety.
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