use showata::Showable; use ndarray::Array2; let data = Array2::::zeros((3, 4)); data.show().unwrap(); # By default the data will be shown inside your web browser. Features. Why Rust fails hard at scientific computing | Hacker News Cons of nalgebra: generics make it harder to use, and make the doc harder to browse. Dot product (poor, functional implementation) for Vec. Scientific Computing - Are we learning yet Luckily, there are at least 2 great crates in Rust that we can use to manipulate n dimensional arrays: nalgebra and ndarray. [Rust] ndarray入門 - Qiita Taming nalgebra's Rustdoc - Jack Sometimes Writes Vecmath … Nalgebra Vs Cgmath [MCWB6X] Methods from Deref>> as_mut_slice … Rust for Machine Learning: SIMD, BLAS, and Lapack [ dependencies ] ndarray = "0.13" ndarray-linalg = "0.12" The cargo's feature is additive. nalgebra linear-algebra library | nalgebra SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. Use the nalgebra-glm crate for a simpler, straight-to-the-point, graphics programming-oriented API. Inspired by the C++ GLM library. Use the nalgebra-sparse crate to work with sparse matrices based on the CSC and CSR formats. Use and compile nalgebra for browser applications or embedded targets that do not support the Rust standard library. rust vs julia for scientific computing If your library (saying lib1) set a feature openblas-static , the application using lib1 builds …
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