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.
Eink, E-paper, Think Ink – Collin shares six segments pondering the unusual low-power display technology that somehow still seems a bit sci-fi – http://adafruit.com/thinkink
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