
During March 2025, Pavel Bartsits enhanced the supervisely/developer-portal repository by implementing nested dataset retrieval in the Python SDK. He introduced the api.dataset.tree method, enabling developers to access hierarchical dataset structures with accurate path resolution, which addressed limitations of the previous api.dataset.get_list approach. Pavel updated documentation and tutorials written in Markdown and Python, providing concrete examples and expected outputs to streamline adoption. His work focused on improving data accessibility and developer experience, with a guidance-focused example illustrating practical usage. The depth of the enhancement reflects a thoughtful approach to both SDK functionality and supporting materials for the developer community.
March 2025: Implemented a significant enhancement to the Python SDK to support nested datasets retrieval via api.dataset.tree, with accompanying documentation updates. This enables accurate path resolution in hierarchical datasets and provides an efficient alternative to api.dataset.get_list. Documentation and tutorials now include concrete examples and expected outputs to accelerate developer adoption. Overall, this month focused on elevating data accessibility and developer experience in the portal.
March 2025: Implemented a significant enhancement to the Python SDK to support nested datasets retrieval via api.dataset.tree, with accompanying documentation updates. This enables accurate path resolution in hierarchical datasets and provides an efficient alternative to api.dataset.get_list. Documentation and tutorials now include concrete examples and expected outputs to accelerate developer adoption. Overall, this month focused on elevating data accessibility and developer experience in the portal.

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