That's because it's not relevant. Speed can be compensated for either by caching or outsourcing your load, if there's such a huge need to process large amount of data quickly. In day to day work I can't say I have ever ran into issues because code was executing slow. Normal operation Python is more than capable of keeping up.
On the other side of the coin you have memory management, buff and stack overflows and general issues almost exclusive to C, which is something you don't have to worry about as much with higher level languages. Development with Python is simply faster and safer. We as developers have different tools, and we should use them for their appropriate purpose. You can drive nails with a rock as well, but you generally don't see carpenters doing this all day.
Actually no. Wire wrapping prototypes were made like this. This also looks like an old ISA card as well, from which period this method of prototyping was still in us. It's also the method in which the Apollo's guidance computer was made and that one survived a lot harsher conditions than desktop PC, and survived.
I see Ansible as necessary evil. Not requiring server-side installed tools to work is great. But choosing yaml of all things for playbooks is downright vile. So there's nothing casual about administering that many servers and machines, especially with constant warnings about Python version incompatibility.