Fotos y Fondos
@fotosyfondos · Post #9728 · 11/23/2018, 04:39 PM
📸🖼📸🖼📸🖼📸🖼📸🖼📸🖼 ➡️ Fantasmas #Fantasmas#Terror#Luigi#FondosDePantalla @fotosyfondos 📸🖼📸🖼📸🖼📸🖼📸🖼📸🖼
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Source channel @githubtrending · Post #14913 · Jul 3
#typescript#boilerplate#boilerplate_code#jamstack#javascript#js_boilerplate#netlify_template#next_js#next_theme#nextjs#nextjs_starter#nextjs_template#react#react_boilerplate#reactjs#starter_kit#starter_project#starter_template#tailwind_css#tailwindcss#typescript You can quickly start a modern web project using a ready-made Next.js boilerplate that includes the latest Next.js 15 features, Tailwind CSS 4, and TypeScript. It offers built-in user authentication, multi-language support, type-safe database tools, error monitoring, AI code reviews, and security features like bot protection. The setup is easy with local and remote database options, automatic testing, and deployment guides. This saves you time and effort by providing a flexible, production-ready foundation with best practices, letting you focus on building your app instead of configuring tools and infrastructure. It also supports smooth development with live reload and VSCode integration. https://github.com/ixartz/Next-js-Boilerplate
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djangoproject
@djangoproject · Post #275 · 03/18/2017, 01:51 AM
https://github.com/spotify/luigi Writing batch jobs is generally only one part of processing heaps of data; you also have to string all the jobs together into something resembling a #workflow or a #pipeline. #Luigi, created by Spotify and named for the other plucky plumber made famous by Nintendo, was built to "address all the plumbing typically associated with long-running batch processes." With Luigi, a developer can take several different unrelated data processing tasks — "a Hive query, a Hadoop job in Java, a Spark job in Scala, dumping a table from a database" — and create a workflow that runs them, end to end. The entire description of a job and its dependencies are created as Python modules, not as XML config files or another data format, so it can be integrated into other Python-centric projects. #Machine_learning