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 ...

Python's async and parallel programming support is highly underrated. In this course, you will learn the entire spectrum of Python's parallel APIs. We will start with covering the new and powerful ...

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 ...

Parallel computing is a sort of computation that performs several calculations or processes at the same time. Large problems are frequently broken into smaller ones that can be tackled simultaneously.

Abstract: Python is a widely used language in scientific computing. When the goal is high performance, however, Python lags far behind low-level languages such as C and Fortran. To support ...

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 ...

As Python is becoming increasingly popular in the scientific community as an interpreting language of choice for scientific applications, the developers of many neural simulator tools decided to ...

Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring.Tools like Nornir, Netmiko, ...