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.
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Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
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