Developed streaming support for iterable results in the palantir/python-compute-module, enabling functions that return iterables to stream results when streaming is set to true. This enhancement required updates to the @function decorator, InternalQueryService, and function_registry to handle streaming logic and track capabilities. The work focused on reducing memory usage and latency for large datasets, supporting more scalable data pipelines and interactive workloads. Implementation involved Python and YAML, with attention to API design, software engineering best practices, and comprehensive testing. Documentation and tests were refreshed to reflect the new functionality, ensuring clarity and reliability for users integrating streaming features.