Artificial Intelligence and its branches such as machine learning quickly gaining in popularity with both users and developers alike. While there is no single recipe to creating the next greatest app that everyone will use, but I can guarantee that one of the ingredients in the usage of thoughtfully incorporated AI.
Android applications are, almost universally, data driven. All screens have a data object that can be fetched from the internet, database, or even created by the application user. Typically on Android apps, developers need to inflate the view, locate each view element using findById, and then set the appropriate value.
In the first part of our Tutorial, we learned how to setup and run our Vapor environment, as well as how to configure MySQL for use. If you missed Part 1, you can read it here! Now, in Part 2, we will create our data Model and learn how to develop the necessary basic data operations that will be used on our Pet App. So, let's get started!
During the Wordwide Developers Conference (WWDC) 2014, Apple brought to the world something every iOS developer was expecting: A new language named Swift, that was presented as the solution for the already old-fashioned Objective-C. The promise was that Swift would be modern, and would bring more safety and power for apps. But the new language was so good, that webdevelopers decided to try it to create webapps.