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 ...

Cloud computing platforms have become very important in recent years for a wide variety of purposes, from serving websites through to scientific analysis, and the BBC has been an enthusiastic adopter ...

Ruby and Python's standard implementations make use of a Global Interpreter Lock. Justin James explains the major advantages and downsides of the GIL mechanism. Multithreading and parallel processing ...

Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting started with true parallelism in Python. Until recently, Python threads ...

Cloud computing platforms have become very important in recent years for a wide variety of purposes, from serving websites through to scientific analysis, and the BBC has been an enthusiastic adopter ...

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile programming ...