All Talks

Everything at Once: Python's Many Concurrency Models

Python makes it incredibly easy to build programs that do what you want. But what happens when you want to do what you want, but with more input? One of the easiest things to do is to make a program concurrent so that you can get more performance on large data sets. But what’s involved with that? Right now, there are any number of ways to do this, and that can be confusing! How does `asyncio` work? What’s the difference between a thread and a process? And what’s this Hadoop …

You might be interested in: