The numpy
model of computation in Python has proven to be one of the most successful ways to integrate high-performance computational code into an application. This talk offers a foundational conceptualization for this approach and discusses its strengths and limitations.
The numpy
model of computation in Python has proven to be one of the most successful ways to integrate high-performance computational code into an application. This talk offers a foundational conceptualization for this approach and discusses its strengths and limitations.