Fusion.js Reviews

NumPy Reviews

Fusion.js mentions (3)

• [AskJS] question about your monorepo workflow

  b) Don't do intermediate builds at all. This is what we do for monorepo-internal packages at Uber. Basically, our framework lets you specify what parts of node_modules should be transpiled when compiling the service. So basically you just have a single compilation step and the performance cost is alleviated by leveraging babel cache. The upside of this approach is you only need one file watching daemon and you... Source: over 2 years ago

• [AskJS] Best practices for polyfills in libraries?

  I also worked on another framework which does ship with polyfills, but this one is very much a "we-call-you" framework, in the sense that it has an full-fledged, opinionated compiler with hundreds of hours worth of time spent on optimizations, and the inclusion of polyfills is also very much a deliberate choice made in the name of productivity. Source: over 2 years ago

• [AskJS] Is it just me or is core-js fundamentally broken?

  We've gone down this rabbit hole with Fusion.js. The TL;DR: is core.js aims to be standard-compliant, which means it'll often pull in a lot of code to deal with obscure corner cases like dealing w/ Symbols. Source: about 3 years ago

NumPy mentions (111)

• Documenting my pin collection with Segment Anything: Part 3

  NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / about 2 hours ago

• Awesome List

  NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 5 days ago

• NumPy for Beginners: A Basic Guide to Get You Started

  This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 7 days ago

• 2 Minutes to JupyterLab Notebook on Docker Desktop

  Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago