When you think about the performance of your software, there is nothing more low level and fundamental than how your code executes on the CPU itself. Many of us study and try to understand how to maximize performance at this low level. But few are in a position to define what happens at this level.
That's why I'm thrilled to share the work that Intel, the largest PC chip manufacture, is doing specifically to make Python faster and to make their chips execute Python even better.
This week you'll meet David Stewart, manager in the Intel Data Center Software Technology group at Intel. We'll discuss the wide variety of work Intel is doing in open source and Python.