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English(EN) I have worked with many young # IT coders who were raised on Python and adore its # syntax , but they could not countenance the offside rule syntax of Agda, Has

Python程序员难以适应函数式语言语法，AI工具或加剧此问题

作者 PulseAugur 编辑部 · [1 个来源] ·

年轻的IT程序员习惯了Python的语法，发现Agda、Haskell和LISP系列语言在语法上具有挑战性。这种偏好可能会限制他们接触不同编程范式的机会，而他们对AI代码生成器的依赖可能会进一步缩小他们的语言和技术发展范围。 AI

影响 AI代码生成器可能会无意中限制开发人员接触不同编程范式的机会，从而可能阻碍他们的长期技术成长。

排序理由 该条目是一篇评论文章，讨论了编程语言语法偏好以及AI代码生成器对开发人员技能集的潜在影响。

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Python程序员难以适应函数式语言语法，AI工具或加剧此问题

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2 / 100
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该条目是一篇评论文章，讨论了编程语言语法偏好以及AI代码生成器对开发人员技能集的潜在影响。
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opinion, other
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    我曾与许多年轻的#IT程序员共事，他们从小接触Python并喜爱其#语法，但却无法接受Agda的越位规则语法，以及Has

    I have worked with many young # IT coders who were raised on Python and adore its # syntax , but they could not countenance the offside rule syntax of Agda, Haskell, Hope, and other ML family of # programming languages that trace their syntax to Landin’s 1966 seminal FP language,…

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