Vercel Reviews

NetworkX Reviews

Vercel mentions (538)

• How our infrastructure supports last-minute studying

  Vercel for the Next.js frontend and part of the backend. The killer features for us include autoscaling, CDN and instant rollbacks out of the box 📦. - Source: dev.to / 1 day ago

• Vercel v0 and the future of AI-powered UI generation

  If you don’t have a Vercel account already, visit the Vercel website and create a free account. - Source: dev.to / 3 days ago

• Creating a Flask App: My issues as a beginner and how I learned to fix them.

  The errors were frustrating, and a friend suggested switching to Vercel. Even on Vercel, I faced troubleshooting issues. Here are a few examples of my errors:. - Source: dev.to / 3 days ago

• Frontend Technologies: Choosing Between React.JS and Angular

  Meanwhile, having used React.JS for some time in my personal and team projects, I enjoy working with React. It offers simplicity and is beginner-friendly. It is easy to understand. From my experience, React applications can easily be hosted to free hosting platforms like Vercel. - Source: dev.to / 7 days ago

• Building a Progressive Web App (PWA) with Flutter

  Vercel: Performance-focused platform with global edge network and serverless functions (optional).vercel. - Source: dev.to / 10 days ago

NetworkX mentions (34)

• Build the dependency graph of your BigQuery pipelines at no cost: a Python implementation

  In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / 6 months ago

• Custom libraries and utility tools for challenges

  If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: 7 months ago

• Google open-sources their graph mining library

  For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / 9 months ago

• org-roam-pygraph: Build a graph of your org-roam collection for use in Python

  Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: about 1 year ago

• Microsoft won't accept my first name.

  Back in college, I had an assignment deadline coming up and I wanted to work on it in the train since I had an 8-hour journey ahead of me. It was about some analysis of graph data, which used a Python package called NetworkX. The train's WiFi didn't allow me to access their documentation because it apparently thought it was porn. Source: about 1 year ago