Rust Data Science Kernels in Dynamic Languages: Arrays, Slices, Nulls, and Batch APIs
A practical two-hour session on Rust Data Science Kernels in Dynamic Languages, focused on Arrays, Slices, Nulls, and Batch APIs. The session treats Rust as a native component exposed through C-compatible boundaries, with attention to packaging, ownership, host-runtime tests, and failure handling.
Description
section.descriptionA practical two-hour session on Rust Data Science Kernels in Dynamic Languages, focused on Arrays, Slices, Nulls, and Batch APIs. The session treats Rust as a native component exposed through C-compatible boundaries, with attention to packaging, ownership, host-runtime tests, and failure handling.
Audience: entry-level and intermediate developers who want a practical engineering session, not a language tour.
Outcomes:
- Explain the practical boundaries of Rust Data Science Kernels in Dynamic Languages
- Apply Arrays in a small working example
- Apply Slices in a small working example
- Apply Nulls in a small working example
Format: two hours with a short framing walkthrough, a concrete example, discussion of tradeoffs, and a closing checklist for practice.