One of the most popular libraries in Go for scientific algorithms is the Gonum package. The Gonum package (https://github.com/gonum) provides utilities that assist us in writing effective numerical algorithms using Go. This package focuses on creating performant algorithms for use in many different applications, and vectors and matrices are core tenets of this package. This library was created with performance in mind – the creators saw a problem with fighting vectorization in C, so they built this library in order to be able to manipulate vectors and matrices more easily in Go. The Sparse library (https://github.com/james-bowman/sparse) was built on top of the Gonum library in order to handle some of the normal sparse matrix operations that happen in machine learning and other parts of scientific computing. Using these libraries...
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