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 ...

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

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.

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

在代码大模型（Code LLMs）的预训练中，行业内长期存在一种惯性思维，即把所有编程语言的代码都视为同质化的文本数据，主要关注数据总量的堆叠。然而，现代软件开发本质上是多语言混合的，不同语言的语法特性、语料规模和应用场景差异巨大。如果忽略这些差异，笼统地应用通用的 Scaling Laws，往往会导致性能预测偏差和算力浪费。

Data Parallel Extension for NumPy* or dpnp is a Python library that implements a subset of NumPy* that can be executed on any data parallel device. The subset is a drop-in replacement of core NumPy* ...

Abstract: Parallel computations in multicore architectures are in big interest these days. Nearly all newly manufactured computers have multicores inside, so these architectures must be efficiently ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython, being ...

Automating code testing has become integral to software development, ensuring that applications are reliable, bug-free, and efficient. Python, one of the most widely used programming languages, boasts ...