内容简介：Just a day before this post, Iannounced Prototope - Tailwind-inspired CSS-in-JS library to go alongside Isotope UI library. The goal of this library was and is not only to provide better integration with utility-based CSS toolkit but also to extend Isotope
Just a day before this post, Iannounced Prototope - Tailwind-inspired CSS-in-JS library to go alongside Isotope UI library. The goal of this library was and is not only to provide better integration with utility-based CSS toolkit but also to extend Isotope's ecosystem and increase it's perceived value, making lives of all potential Isotope's users out there, even easier!
And it's with similar thoughts in mind, that I introduce you toDocking :tada: - a Static-Site Generator (SSG) built upon the Isotope ecosystem.
Docking is meant to be a simple, go-to SSG, for anyone already familiar with Isotope and Prototope, who'd like to make a nice, Markdown-based static (or JAM-stacked if you like) website without much hassle. It prioritizes simplicity , ease-of-use, and great development-experience (just like other libraries in the Isotope ecosystem).
Docking relies on opinionated file structure with special directories for static assets, Markdown content, and Isotope components respectively. All complexities like bundling, path resolving and even TypeScript support are handled seamlessly.
So, if I managed to get you interesting in Docking and Isotope ecosystem as a whole, feel free to check out the GitHub repo (consider dropping a star :star: while you're at it) and Docking'sown documentation.
As always, if you'd like to stay up-to-date with Isotope, Docking, or any other Web Development stuff that I blog about, follow me on Twitter , Facebook , or through my newsletter ! Thanks for checking in!
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PYTHON3:数据分析与机器学习实战
龙马高新教育 / 北京大学出版社 / 2018-9-1 / 69.00
机器学习(Machine Learning, ML)是一门多领域交叉学科，是人工智能的核心，其应用遍及人工智能的各个领域，专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。在机器学习过程中，需要使用大量数据，而数据分析是指用适当的方法对收集的大量数据进行分析，提取有用信息并形成结论，进而对数据加以详细研究和概括总结的过程。本书结合机器学......一起来看看 《PYTHON3:数据分析与机器学习实战》 这本书的介绍吧!
