Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

Overview: Numba is a just-in-time (JIT) compiler that turns Python functions into fast machine code. In one tested example, a ...

Most books on asynchronous programming start by looking at threads, as these are generally regarded as the building blocks of execution. However, for Python there are advantages in starting with ...

So, I have this little web application I've written in Django. The final step in it's functionality is talking to a REST API, the service on the other side does all of the heavy lifting. Each call ...

The ability to execute code in parallel is crucial in a wide variety of scenarios. Concurrent programming is a key asset for web servers, producer/consumer models, batch number-crunching and pretty ...

The above example waits on p1 and p2 and p3 to finish. What is more difficult is to wait until one of the processes is complete, i.e. wait for p1 or p2 or p3, whichever completes first. The easiest ...