This Post Is Not About Python

Pure Python is generally slow, often 40-50 times slower than C. It struggles with multi-CPU usage and performance scaling. While Python's flexibility is valuable, it comes at a runtime cost. For high-performance needs, Python may not be suitable even with multiprocessing. However, modern computers are fast, and Python remains an excellent choice for many tasks where its performance limitations aren't critical. It's important to carefully consider project requirements and potential bottlenecks before selecting a programming language. This perspective encourages objective evaluation of technology choices rather than favoring particular tools.