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 ...

At work, I use a Python tool that automates browser operations. It launches several browsers in parallel to process hundreds ...

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 ...

Python's support for multithreaded programs has improved considerably over the last few years with the advent of the "free-threaded" version of the language. But testing multithreaded programs is ...

One of the biggest changes to come to the Python world is the addition of the free-threading interpreter, which eliminates the global interpreter lock (GIL) that kept the interpreter thread-safe, but ...