Python’s Weak Performance Matters
The quoted argument that &quot;easy to write but slow languages are better because programmer time is far more costly than CPU speed&quot; was pretty common, and I honestly think correct, 10-15 years ago. But things have changed.<p>CPU performance long ago hit physical limits, and more and more we are scaling out applications across hundreds, thousands, or millions of servers. We&#x27;ve passed the inflection point where CPU speed really is more expensive than programmer time, if you are running that code at a big enough scale.<p>Add in containerization and cloud VM platforms where the tradeoffs of space and performance versus money start to become very clear. Add in better, safer languages like Rust and Go for writing high-performance code. And today if you can spend three times the programming time writing in a faster and more efficient language, and it runs 100x as fast in a tenth the memory footprint, you are talking about massive overall cost savings.