Why is Python favored for automation, machine learning, and backend scripts—even with slower runtime?

Discusses Python’s suitability for concise development in AI, automation, and scripting environments.

Python’s advantages include: • Simple, readable syntax and fast prototyping. • Rich standard library (e.g. subprocess, os) and machine learning ecosystems (TensorFlow, sklearn). • Excellent for backend APIs (Django, Flask) and automation tasks. Even though it's slower for real-time apps, Python is unmatched for analytical pipelines, AI workloads, and developer productivity. Tags: python, automation, data-science, backend, machine-learning