matten v0.28: Rust tensor library offers NumPy-style ops with clean error handling

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The matten Rust library (version 0.28) provides a Tensor type for numerical computing without requiring generic type parameters or lifetime annotations. It supports standard constructors such as zeros, ones, and full, along with NumPy-compatible broadcasting using right-alignment rules. Shape operations like reshape and transpose panic with clear messages to aid prototyping, while boundary-facing methods such as from_json and from_csv return Result to handle real-world dirty data gracefully. The library includes built-in support for JSON and CSV serialization via optional default features, and errors are exposed through a non-exhaustive MattenError enum. This article is the second in a four-part series, with the next installment focusing on mixed-type and missing-value input scenarios.

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