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 ...

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 ...

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 ...

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 ...

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 has been held back by its inability to natively use multiple CPU cores. Now Pythonistas are aiming to find a solution For all of Python’s great and convenient features, one goal remains out of ...