Issue 124 – 13th February 2018

综合技术 2018-02-13 阅读原文

News

Is This An Emoji Crackdown?

So this week has brought a bit of controversy within the community with Apple rejecting a number of apps for the inclusion of emojis citing a lack of compliance with the trademarks and copyrights section of the app review guidelines as the reason. Although a number of these apps have subsequently been accepted, it is still unclear whether this is part of a larger Apple crackdown or just an over-zealous reviewer. @jeremyburge
has written a good summary of all the goings on.


emojipedia.org

Business

10 Changes to the App Store That Can Get Your App More Downloads

Overall the new App Store re-design has received a general thumbs up from most developers I’ve talked to but what do these changes mean for your app? The team at @appfigures
have come up with a number of opportunities within the new app store design and provide some actional advice on how you can take advantage.


appfigures.com

Swift

Code Size Optimization Mode in Swift 4.1

With the arrival of Swift 4.1, the Swift compiler has gained a new optimization mode that enables some dedicated optimisations to reduce the size of your compile Swift code. Instead of compiling for performance, the new optimisation mode lets you specifically focus on compiling for minimal size rather than maximum speed. Check out the new post from @eeckstein
on the Swift.org blog for all the details.


swift.org

Swift 4.1 Codable Improvements

Introduced in Swift 4.0, Swift’s new Codable protocol is become by far the easiest way of converting Swift objects into XML and JSON but it was not without it’s annoyances. One of these is the mis-match between snake_cased key names and camelCase property names resulting in the need for your own CodingKeys
mapping. Swift 4.1 however has introduced a fix for this by way of a new keyDecodingStrategy
property on JSONDecoder
which can automatically convert between the two forms. @twostraws
has been putting it through it’s paces.


hackingwithswift.com

Code

iOS Subscription Groups Explained

In 2016, Apple announced changes to the app-store subscription model that meant that developers who managed to retain subscription users on a (at least semi-continuous) basis for more than a year would have their slice of the subscription pie increased from the default 70% up to 85% for each subsequent billing cycle. At the same, Apple also introduced the concept of subscription groups
. @jeiting
takes an in-depth look explaining what they are and how you can use them.


medium.com

Getting Started with Moya

Moya has been around for some time now. Build on top of Alamofire, Moya provides a network abstraction layer between Alamofire and your application code, letting you abstract away the nitty gritty of calling into the Alamofire framework and providing a number of other architectural and testing benefits. If you’re thinking about using Moya in your own applications, make sure you check out this introductory article from @MDevSA
which will help you get up to speed.


medium.com

Beginning Machine Learning with Keras and Core ML

With the arrival of the Core ML and Vision frameworks at last years WWDC a wide range of new possibilities have been opened up to the Apple development community. In this tutorial, @mataharimau
provides a great introduction to this area, showing you how train your own deep learning convolutional neural network, how to convert that network to Core ML and how to then integrate it into your own iOS app.


raywenderlich.com

Notification Handling on WatchKit

Developing for WatchKit is fundamentally different experience from developing for UIKit due to the inherit limitations of the WatchKit framework and the approach to handling notifications in WatchKit is no exception. In this tutorial, @jablair
walks through how to setup, display, handle and test notifications in your watchOS app and in doing so covers a number of best-practices, gotchas and lessons learnt along the way.


martiancraft.com

Tools

fastlane.ci

This week has seen an exciting announcement from @krausefx
and the team at fastlane
who have started working on an open-source, self-hosted, mobile-optimized CI system powered by fastlane
. It’s still early days but has lots of promise and with all the development being done in the open it’s definitely one to keep an eye on.


github.com

Videos

Buckets of Code

In this talk from dotSwift 2018, @subdigital
of NSScreenCast
fame, with some pragmatic advice on how to find your own way with your application architecture by introducing your own objects that have just one single responsibility and how doing so, can help reduce the size of your view controllers and make your software more flexible and maintainable in the long-term.


dotconferences.com

Finally Solving the Expression Problem

In this talk, @bkase_
looks at the Expression Problem – the problem of how to define a data type where we can add new variants and behaviour to that type without losing type safety or having to modify the original data type – before moving on to explore how we can solve this problem in Swift.


dotconferences.com

AndyBargh

责编内容by:AndyBargh阅读原文】。感谢您的支持!

您可能感兴趣的

包容性图像竞赛 来源 | 谷歌开发者公众号 文 / Tulsee Doshi, Google AI 产品经理 发布大型的、对公众开放的图像数据集(如 ImageNet,Open Images 和 Conceptual Captions),是推动计算...
读研or工作?对计算机类专业学习的看法... 先来介绍一下自己 中南大学(不知名985双一流A类)大二计算机专业本科生,才学编程1年多一点。大一的时候搞了大半年ACM,现在慢慢转向项目开发(在学习JAVA开发,U3D和C#),同时在学习机器学习、大数据等内容,混进了学校的图灵班。 ...
Machine Learning Invades IC Production Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask ma...
计算机视觉前沿技术探索 计算机视觉软件正在改变行业,使用户的生活变得不仅更容易,而且更有趣。作为一个有潜力的领域,计算机视觉已经获得了大量的投资。北美计算机视觉软件市场的总投资额为1.2亿美元,而中国市场则飙升至39亿美元。让我们来看看一些最有前途和更有趣的技术,...
数据挖掘实验2python编写贝叶斯分类器 1. Introduction 本文基于前文说的朴素贝叶斯原理,参考 圣地亚哥州立大学的实验 编写了一个简单的朴素贝叶斯分类器,并利用测试数据进行了测试。 项目地址: 2. 分类器编写 2.1数据说明 采用“...