Every day that I work in JavaScript-land, I stumble across a mixture of callbacks, promises or async/await. I have my own preferences in how I like to handle async code, though sometimes I don’t have…
Decorators are helpful for anything you want to transparently wrap with extra functionality. These include memoization, enforcing access control and authentication, instrumentation and timing functions, logging, rate-limiting, and the list goes on.
Understanding decorators is a milestone for any serious Python programmer. Here’s your step-by-step guide to how decorators can help you become a more efficient and productive Python developer.
Python decorators are a useful but flawed language feature. Intended to make source code easier to write, and a little more readable, they neglect to address another use case: that of the programmer who will be calling the decorated code. If you’re a Python programmer, the following post will show you why decorators exist, and how to compensate for their limitations. And even if you’re not a Python a programmer, I hope to demonstrate the importance of keeping in mind all of the different audiences for the code you write.