A Comprehensive Guide to Profiling Python Programs #Python @eyaltra @BttrProgramming

Eyal Trabelsi reviews the art of profiling Python programs. Profiling is understanding what parts of your code are problematic.

You must be asking yourself why should I even care about optimizing my code, my feature is already done. You should care about optimization because it affects our users and our company. These are the main reasons:

• Fast programs are better than slow ones — whether latency or throughput.
• Memory efficiency is good — Most of us are terrified of out-of-memory errors.
• Saving money is awesome — If out-of-memory errors do not terrify you, your AWS bills might.
• Hardware has limits— Even if we are willing to pay to improve performance, hardware will only take you so far.

Read the piece here.