Getting ready for a Python interview in 2025? It can feel like a lot, trying to remember all the details. Whether you’re just ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

The google python course is a free online resource from Google covering Python basics to more advanced topics. It’s designed ...

Four key concepts are essential for understanding Clojure’s functional programming paradigm. Here’s how to apply what you ...

Q.ANT has introduced its second-generation photonic computing platform, the Native Processing Unit (NPU) 2, promising ...

Earlier this month, I started the review of the Intel-based UP AI development kits with an unboxing of the UP TWL, UP Squared ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global agriculture today is the need to increase food production to feed a ...

在数字经济与实体经济深度融合的今天，电子商务已成为全球零售行业变革的核心驱动力。作为线上零售的热门品类，3C数码商品（如电脑、手机、智能穿戴设备等）凭借 标准化程度高、消费决策链路短、客单价高 ...

Whether infection of cells by individual virions occurs randomly or if there is some form (s) of competition or cooperativity between individual virions remains largely unknown for most virus-cell ...

在人工智能技术飞速发展的今天，从智能客服到工业质检，从医疗影像分析到金融风险预测，AI的应用场景不断拓展，其赋能千行百业的潜力有目共睹。然而，当我们深入观察AI技术的实际落地过程，会发现一个令人困惑的现象：尽管AI技术在实验室和demo中展现出强大的能力，但在企业级场景中大规模应用时，却往往面临“最后一公里”的难题。

很多初学者喜欢用全局变量，因为这比函数的参数传来传去更容易让人理解。确实在很多场景下用全局变量很方便。不过如果代码规模增大，并且有多个文件的时候，全局变量就会变得比较混乱。你可能不知道在哪个文件中定义了相同类型甚至重名的全局变量，也不知道这个变量在程序的某个地方被做了怎样的操作。因此对于这种情况，有 ...