Concerns over the performance of programs written in Python are often overstated — for some use cases, at least. But there is no getting around the problem imposed by the infamous global interpreter ...

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 ...

Formal plans for a Python that supports true parallelism are finally on the table. Here’s how a GIL-free Python will finally come together. After much debate, the Python Steering Council intends to ...

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 ...

Think it's complex to connect your Python program to the UNIX shell? Think again! In past articles, I've looked into concurrency in Python via threads (see "Thinking Concurrently: How Modern Network ...

How to get started using Python's asyncio. Earlier this year, I attended PyCon, the international Python conference. One topic, presented at numerous talks and discussed informally in the hallway, was ...