Powerful, flexible, and programmer-friendly, Python is widely used for everything from web development to machine learning. By the two most-cited measures, Python has even surpassed the likes of Java ...

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13. By default, ...

A major criticism of the Python programming language is that it can't thread across cores. The reason is because of the CPython's Global Interpreter Lock (GIL). The inability to take advantage of more ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

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 ...

Community driven content discussing all aspects of software development from DevOps to design patterns. When language architects designed Python, they couldn’t conceive of a world where computers had ...

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 ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...