rollup.js Reviews

Google Cloud Dataproc Reviews

rollup.js mentions (47)

• Why and How to Migrate Your React App from CRA to Vite

  Vite is not a bundler but a frontend tool that intelligently uses ESBuild and Rollup for their best use cases. - Source: dev.to / about 7 hours ago

• Rustify your JavaScript tooling

  A big part of my work revolves around JavaScript tooling, and as such it's important to keep an eye on the ecosystem and see where things are going. It's no secret that recently lots of projects are native-ying (??) parts of their codebase, or even rewriting them to native languages altogether. Esbuild is one of the first popular and successful examples of this, which was written in Go. Other examples are Rspack... - Source: dev.to / 20 days ago

• Svelte Series-2: How to install Svelte

  If we don't want to use Vite or SvelteKit, or if we don't have the means to use them, then we need to integrate Svelte with our own environment. In our daily development, we usually use webpack or Rollup as our project's module management packaging tool. Therefore, I will introduce these two environments, how to build the Svelte environment. - Source: dev.to / 20 days ago

• Build a Vite 5 backend integration with Flask

  Unlike Webpack, the Vite DevServer only compiles files when they are requested. It leverages ES module imports, which allow JS files to import other files without needing to bundle them together during development. When one file changes, only that file needs to be re-compiled, and the rest can remain unchanged. Project files are compiled with Rollup.js. Third-party dependencies in node_modules are pre-compiled... - Source: dev.to / 4 months ago

• 11 Ways to Optimize Your Website

  Besides Webpack, there are many other popular web bundlers available, such as Parcel, Esbuild, Rollup, and more. They all have their own unique features and strengths, and you should make your decision based on the needs and requirements of your specific project. Please refer to their official websites for details. - Source: dev.to / 7 months ago

Google Cloud Dataproc mentions (3)

• Connecting IPython notebook to spark master running in different machines

  I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago

• Why we don’t use Spark

  Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago

• Data processing issue

  With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago