Tensor. Our NDArray has many features including+,-.*./ etc.Slice explicitly due to Mojo parser limitations).sum, mean, stdev both on axis and cumulative.matmul implementations.trapz.arange, ones, zeros, identity.bubble_sort, quick_sort,and quick_sort_inplace.Backend was added. VectorizedParallelizedNWorkers which allows the number of workers to be set as a parameter. I have found that setting the number of workers to between half, and three-quarters of the total number of cores provides a speed-up where default parallelization caused a slowdown (on WSL).Backend is a trait that defines how calculations get carried out for many of the functions in our math module. The default is Vectorized which uses SIMD vectorization. In the future, all numojo functions and data types will implement backends to enable easy switching between computational methods and eventually even hardware accelerators such as GPUs.