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
Array operations have seen major enhancements, including the introduction of the
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
NuMojo V0.2 is compatible with Mojo 24.4 and requires no external dependencies.
For more details, check out the full changelog.
in_dtype and out_dtype parameters and introduces Rust-like data type aliases (e.g., 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() method for creating diagonal arrays, improved slicing functionality that aligns with NumPy, and added boolean masking for NDArrays. The 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 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
NuMojo is a library for numerical computing in Mojo 
similar to numpy in Python. - Mojo-Numerics-and-Algorithms-group/NuMojo
similar to numpy in Python. - Mojo-Numerics-and-Algorithms-group/NuMojo
