Tensor Is the Might

Tensors are fundamental abstractions in neural networks that represent multidimensional data as flat arrays of numbers combined with metadata (shape and strides) describing how to interpret them. The post explains how to build an efficient tensor library in C by storing data contiguously and using strides to calculate element positions without repeated computation. Key features include helper functions for index calculation, dynamic memory management, and support for creating tensor "views" that share underlying data without copying.