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日常做数据分析时，清洗脏数据和调整可视化图表的代码细节，要比核心分析逻辑还要消耗精力。 最近看到微软开源的 GitHub Copilot for Data Science 教程，专门教我们如何用 GitHub Copilot 的高级功能来提升数据科学工作效率。 通过斜杠命令、内联聊天、@workspace 智能体等功能，直接在 Jupyter Notebook 里完成数据处理、图表生成和报告导出。 GitHub：https://t.co/6c4f1N65mP 教程会带着我们从零开始，用 Copilot 创建一个完整的数据分析项目：处理 CSV 数据、导出高分辨率图表、生成可分享的报告。 还会教我们如何自定义智能体，让 Copilot 更懂你的数据项目需求，加速日常分析流程。 整个教程基于真实项目场景，所有资源和数据都在仓库里，只需要有 GitHub 账号就能跟着练习。
💡 挖掘开源的价值 🧑🏻💻 坚持分享 GitHub 上高质量、有趣、实用的教程、AI工具、前沿 AI 技术 🧐 A list cool, interesting projects of GitHub. ✏️ 公众号：GitHubDaily
RT @AnthropicAI: How will AI affect education, now and in the future? Here, we reflect on some of the benefits and risks we've been think…
The sun shines for all beings.
The first thing this morning was to focus on writing today's newsletter issue. 1.5 hours later. Done! 😁 And it's only 9:30 am. I have plenty of time to write the next ones.
I build stuff. On my way to making $1M 💰 My projects 👇
RT @punk2898: 推荐我心目中的【神作】书籍【重新整理了我的 78 条读书笔记】 全文 16000 字/需要 54 分钟 这本书是我们公司入职必读书籍之一 这本书解答了我很多人生困惑： - 我应该怎么协助大佬，大佬才能提携我一把？（山东学？） -… https…
独立开发者 ｜ 个人IP教练 ｜ 帮助新手在X上完成早期成长｜ 公众号：PandaTalk8
lol. I suspect that Americans don't appreciate what Xiaomi is, because they don't get a lot of their products It's a pretty scary juggernaut Though even actual "3rd tier" Chinese companies often have Meta-scale employee counts and technical chops it's a high level realm
well, I also underestimated them I expected Xiaomi to eventually move to the frontier but still
RT @AJamesMcCarthy: This is a single, unedited, 5 minute exposure taken through my telescope just a moment ago. I know I share a lot of w…
Root node of the web of threads: https://t.co/ifH80GcLpo