Flutter Tips%2C Tricks%2C and Techniques



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Flutter Tips%2C Tricks%2C and Techniques Free Download

  • Explore Flutter widget trees, understand existing layouts, and diagnose layout issues
  • Learn best practices to ensure that your app is performant
  • Access control and collaboration features such as bug tracking, feature requests, task management, and wikis for your projects
  • Build custom widgets; incorporate images, assets, and animations; and add navigation and routing
  • Learn how to integrate Fastlane, an open-source tool suite, with existing testing and continuous integration workflows
  • Use tips to improve your app-building process by using Material Design to enhance your app UIs
About This course is a practical and to-the-point guide with each section covering exciting tips, tricks, and techniques to help you develop cross-platform and native applications with Flutter that you can apply in real-world scenarios to make your work easier.

In this course, you will learn to run Flutter on emulators and physical devices and use Flutter Inspector, which allows you to visualize and explore Flutter widget trees and helps you understand existing layouts and how to diagnose layout issues. You will also cover Material Design, use tips to enhance your UIs, and master techniques such as debugging, deployment, and user accessibility to improve your skillset and build advanced applications.

By the end of the course (and after mastering its best practices), you will be able to use Flutter to its fullest extent and will have taken a giant step forward in building advanced applications.

The code bundle for this course is available at: https://github.com/PacktPublishing/Flutter-Tips-Tricks-and-Techniques

Features
  • Master all the latest Flutter features and improve your productivity
  • Become a Flutter expert by mastering many exciting tips, best practices, and techniques to help you develop your apps
  • Work with expert tools and tips to improve your Flutter performance and save time and effort
Read more course:  Learn ggplot2 in R for Data Visualization

 

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