3 steps to a Python async overhaul
Python is one of many languges that support some way to write asynchronous programs — programs that switch freely among multiple tasks, all running at once, so that no one task holds up the progress of the others.Chances are, though, you’ve mainly written synchronous Python programs — programs that do only one thing at a time, waiting for each task to finish before starting another. Moving to async can be jarring, as it requires learning not only new syntax, but also new ways of thinking about one’s code. In this article, we’ll explore how an existing, synchronous program can be turned into an asynchronous one. This involves more than just decorating functions with async syntax; it also requires thinking differently about how our program runs, and deciding whether async is even a good metaphor for what it does. To read this article in full, please click here
Python is one of many languges that support some way to write asynchronous programs — programs that switch freely among multiple tasks, all running at once, so that no one task holds up the progress of the others.Chances are, though, you’ve mainly written synchronous Python programs — programs that do only one thing at a time, waiting for each task to finish before starting another. Moving to async can be jarring, as it requires learning not only new syntax, but also new ways of thinking about one’s code.
In this article, we’ll explore how an existing, synchronous program can be turned into an asynchronous one. This involves more than just decorating functions with async syntax; it also requires thinking differently about how our program runs, and deciding whether async is even a good metaphor for what it does. To read this article in full, please click here
