How-To Geek on MSN
Make Python scripts smarter with regex: 5 practical RE examples
If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into ...
XDA Developers on MSN
I used NotebookLM to learn about advanced Python tricks in Excel and I should have sooner
Ever since Microsoft introduced Python in Excel, I have treated it as a ‘someday’ project. I knew Python integration was the ...
Sometimes plunging in headfirst and barehanded is the most efficient way to nab the lizard, says Mike Kimmel, who goes by ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
I received a Facebook message that made me think even more about being kind to folks. The message was from the 1983 film ...
Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...
Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
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.
近日,一封由 AI 系统生成的感谢邮件在技术圈引发广泛关注和讨论。Python 之父 Guido van Rossum 对收到的邮件回应一句「Stop」,React 核心团队成员、Redux 作者 Dan Abramov 则投诉称“垃圾邮件泛滥”。
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。
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