The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...

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

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 ...

Ruby Box is an experimental feature that provides separate spaces in a Ruby process to isolate application code, libraries, ...

Bootstrap (basics of parallel programming) Map-reduce applications in statistics for big data Monte Carlo simulations (more parallel programming) MCMC (various samplers - GPU programming) I believe ...

As decided, I’ll invest the first 3 days in reading and learning about system design and then start building the HuntKit, or ...

Nvidia’s CES 2026 keynote unveiled Alpamayo, a reasoning AI for self-driving cars, plus new supercomputers, speech AI, and robotics models.

Abstract: We present two computing projects, peridynamics simulation and numerical integration on implicit domains, for which we realized high performance implementations using Python with appropriate ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...

Please note that these are just the code examples accompanying the book, which we uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive ...