M

Modular•2y ago•

4 replies

mad alex 1997

NuMojo V0.2 Release: Simplified Type Handling, New Features, and Enhanced Compatibility

We’re excited to announce NuMojo V0.2, featuring significant improvements and new features. This update simplifies data type management by removing

in_dtype

in_dtype

and

out_dtype

out_dtype

parameters and introduces Rust-like data type aliases (e.g.,

f64

f64

). Function overloads were implemented in arithmetic to allow easy symmetric usage of NDArray and Scalar types.

Array operations have seen major enhancements, including the introduction of the

diagflat()

diagflat()

method for creating diagonal arrays, improved slicing functionality that aligns with NumPy, and added boolean masking for NDArrays. The

NDArray

NDArray

constructor now supports string array initialization, making array creation easier.

Documentation has been expanded with an updated README, improved function docstrings, and a new style guide. We’ve also introduced new test files compatible with the

mojo test

mojo test

framework, improving NuMojo’s reliability.

NuMojo V0.2 is compatible with Mojo 24.4 and requires no external dependencies.

For more details, check out the full changelog.

GitHub

GitHub - Mojo-Numerics-and-Algorithms-group/NuMojo: NuMojo is a lib...

NuMojo is a library for numerical computing in Mojo similar to numpy in Python. - Mojo-Numerics-and-Algorithms-group/NuMojo