Universal Apps with React Native

When I first made a grid I happened to be thinking of the innocence of trees and then this grid came into my mind and I thought it represented innocence, and I still do, and so I painted it and then I was satisfied. I thought, this is my vision. –Agnes Martin

In your project folder, yarn add react-native-responsive-grid
*requires React Native 0.43.x or newer
Before React Native v0.42 we didn’t have a performant, declarative way of specifying percentage-based dimensions. Then came React Native v0.42 which gave us that ability. Since then several open source contributors have made responsive grids that take advantage of this new capability. This “grid” takes one of the simplest and most well-thought-out ones, namely, react-native-flexbox-grid (by @rundmt), and modifies it heavily to produce a simple yet powerful layout model that we can use to implement responsive and adaptive behavior in our apps.
A Unified Theory of Layout
This grid eschews

Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/uHBHC8kOwWg/README.md

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Manjaro Linux 17.0.2 Arch-based operating system is here with GNOME, KDE, and Xfce

Many Linux snobs push the Arch operating system as the greatest thing since sliced bread. In fact, some members of the Arch community (not all of them) can be downright mean and unpleasant to non-users. Not using Arch? Ugh. Peasant! In reality, while Arch is a fine OS (stable and fast), it can be very hard to install and set up, and quite frankly, often not worth the hassle. People have lives to live, and sometimes it is easy to forget that an operating system and associated computer are tools — not a religion. But OK, if you want the benefits… [Continue Reading]

Original URL: https://betanews.com/2017/06/26/manjaro-linux-arch-gnome-kde-xfce/

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iOS 11 turns your iPad into a completely different machine

 I’ve been playing with a beta version of iOS 11 on a 10.5-inch iPad Pro for the past few weeks. While the final version of iOS 11 is not coming until later this fall, Apple just launched the public beta. Here’s a preview of what you can expect. If you’re using an iPad, get ready to be disoriented by the update because the iPad simply doesn’t work the same way. Apple… Read More

Original URL: http://feedproxy.google.com/~r/Techcrunch/~3/y3LjuCyio_4/

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Apple Releases First Public Beta Of MacOS High Sierra for Mac, iOS 11 for iPhone and iPad

Zac Hall, writing for 9to5Mac: Apple has released the first macOS High Sierra public beta for Mac. This allows users who are not registered developers to test pre-release versions of macOS with new features for free. Prior to the public beta availability, macOS High Sierra has only been available to test with a $99/year developer account. You can register for the free public beta program here. […] Apple has released the first iOS 11 public beta for iPhone and iPad. This allows users who are not registered developers to test pre-release versions of iOS with new features for free. You can register for the free public beta program here..

Read more of this story at Slashdot.

Original URL: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/ZbQt_30K9Wg/apple-releases-first-public-beta-of-macos-high-sierra-for-mac-ios-11-for-iphone-and-ipad

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How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native

3. The DeepDog ArchitectureDesignOur final architecture was spurred in large part by the publication on April 17 of Google’s MobileNets paper, promising a new neural architecture with Inception-like accuracy on simple problems like ours, with only 4M or so parameters. This meant it sat in an interesting sweet spot between a SqueezeNet that had maybe been overly simplistic for our purposes, and the possibly overwrought elephant-trying-to-squeeze-in-a-tutu of using Inception or VGG on Mobile. The paper introduced some capacity to tune the size & complexity of network specifically to trade memory/CPU consumption against accuracy, which was very much top of mind for us at the time.With less than a month to go before the app had to launch we endeavored to reproduce the paper’s results. This was entirely anticlimactic as within a day of the paper being published a Keras implementation was already offered publicly on GitHub by Refik Can Malli,

Original URL: http://feedproxy.google.com/~r/feedsapi/BwPx/~3/1aUofpTNAZE/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3

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