Can we really blame data center energy use on Pyhton?
I am reacting to this article https://levelup.gitconnected.com/python-is-destroying-the-planet-951e83f22748 This is really another version of the classic "Python considered dangerous" type headlines on Slashdot from the 1990s. This analysis is too siloed; the details do not matter in light of systematic global energy analysis; the focus on a particular computer language is inane.
To learn about problems engineers measure
During the elimination of energy consumption, we must focus on global measurements. Deploying a systematic analysis of the energy contributions of our activities.
What are our uses
Inefficient languages and coding that are not in product-critical areas do not need to be addressed. An iterative engineering process measures the entire product life, producing a profile that details what part of the product is problematic. Those parts are optimised until the performance criterion is met, where hardware changes or assembly language may be required. Repeat until done.
Our demands on the datacenters drive their energy use
The energy use of data centers should not be ignored. These energy uses largely grew along with our use of smartphones. Distributed devices mean distributed energy use.