Thứ Tư, 20 tháng 7, 2022

Mobile Newsletter - Customizing Controls in .NET MAUI

Mobile Newsletter - Customizing Controls in .NET MAUI

Welcome to this week's Mobile Development newsletter from CodeProject.

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Industry News

A step-by-step tutorial on using Auth0 and Kotlin to implement basic login/logout in Android apps
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Auth0
Let's talk about all the possibilities to customize a control in .NET MAUI and some dragons that you may found in the way.
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.NET blog
The Swift Extension for Visual Studio Code provides a cross-platform solution for Swift development supporting macOS, Linux, and Windows.
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Swift
This version brings a lof of new goodies like the SelectAllTextBehavior and Icon tint color behavior, a good number of bugfixes, but the most exciting thing must be the new Roslyn Analyzer we have added.
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MAUI CommunityToolkit
This GitHub repo, which has a basic, built-in Reverse Polish Notation calculator, demonstrates integrating a Rust module into an Android app.
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LogRocket
In this article, we will see how to integrate socket requests in Flutter.
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Flutter Community
.NET MAUI enables developers to target both desktop and mobile from a single codebase, but with varying user experiences.
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Telerk

New articles added

Containers

  (2 votes) by Dariusz Trawinski (updated yesterday)
In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.

Internet of Things

  (1 votes) by Ahmed Hashesh (updated 2 days ago)
This article examines how Intel provides standardized specifications that streamline this environment.

Programming Languages

  (4 votes) by Ragesh_Hajela (updated 2 days ago)
NER systems can pull entities from an unstructured collection of natural language documents called as knowledge base. In this article we will show entity recognition from simple text using OpenVINO™ toolkit and you will see how to create the following pipeline to perform entity extraction.
  (0 votes) by Adrian Boguszewski (updated 17 hours ago)
In this article, I will show you how to easily run inference on speech-to-text recognition models using OpenVINO™ so you can start applying this capability in your own applications.



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