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.

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

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。

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages ...

Python has become the most popular language for using AI, and its creator believes that there’s an interesting reason why this is ...

You are not supposed to trigger CI jobs by frequent updates of your pull request. First you should test you work locally with all the scripts (code style).

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: The entire world of parallel computing endured a change when accelerators are gradually embraced in today's high-performance computing cluster. A hybrid CPU-GPU cluster is required to speed ...

Abstract: This research is devoted to a quantitative comparison of the performance of several parallel programming approaches and compares their computational performance. Comparison is performed for ...