SQL or Python? The line is sharper than you think (with code)

Engineers often misuse Python for tasks better suited for SQL, such as window functions, leading to inefficient pipelines. Conversely, complex procedural logic in SQL creates unreadable code. Similarly, many companies inefficiently deploy AI by sending all tasks to the most powerful models. This approach increases costs and latency, mirroring a hospital where senior consultants handle minor injuries. Both scenarios highlight a critical need for selecting the right tool based on the specific task requirements.