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 ...

Threads can provide concurrency, even if they're not truly parallel. In my last article, I took a short tour through the ways you can add concurrency to your programs. In this article, I focus on one ...

Learn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without waiting. Asynchronous programming, or async, is a feature of many modern languages that allows ...

Multiprocessing, multithreading and evented I/O: the trade-offs in Web servers. A Web server needs to support concurrency. The server should service clients in a timely, fair manner to ensure that no ...

The real change now affecting the embedded market is that the application software is also being asked to view the general purpose processor element using a multiprocessing paradigm so that this ...