Is Your Python For-loop Slow? Use NumPy Instead

When speed matters, lists aren’t the best.

Photo by Alireza Kaviani from Pexels.

Speed is always a concern for developers — especially for data-savvy work.

The ability to iterate is the basis of all automation and scaling. The first and foremost choice for all of us is a for-loop. It’s excellent, simple, and flexible. Yet, they are not built for scaling up to massive…