This workshop teaches practical parallel programming in Python through real-world examples. You'll learn when and how to use different parallelization approaches, understand their performance ...

What is this book about? Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run ...

Multiprocessing enables the computer to utilize multiple cores of a CPU to run tasks/processes in parallel. This parallelization leads to significant speedup in tasks that involve a lot of computation ...

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 ...

Abstract: We present mpi4py.futures, a lightweight, asynchronous task execution framework targeting the Python programming language and using the Message Passing Interface (MPI) for interprocess ...

But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.