There’s more than one way to work with threads, or without them, in Python. In this edition of the Python Report: Get the skinny on Python threads and subprocesses, use Python’s native async library ...

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 ...

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 ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

Bundled features for near native performance Python The current Intel Python distribution bundles popular machine learning and data analytics packages that utilize optimized libraries like Intel DAAL ...

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 ...