One interesting way of achieving Python parallelism is through NumExpr*, in which a symbolic evaluator transforms numerical Python expressions into high-performance, vectorized code. Learn how to refactor Python code to take advantage of NumExpr’s capabilities.
Download the full article from The Parallel Universe Magazine below