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 ...

Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

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 ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

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 ...

Let’s start from the beginning: what is Python and why should you learn it? Python is one of the world’s most popular programming languages. It powers a huge number of extremely influential apps and ...

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 ...

I have worker thread(s) that use the logger. In the main thread, I occasionally need to ask the user to take some action. Which means I need to suppress the logger from actually printing until the ...