- Building a testbed
- Creating an Objective-C interface for SQLite
- Creating a CRUD interface
- Designing the database schema
- Creating the main table view
- Creating the items table view
- Adding new feeds
- Parsing feeds with NSXML Parser
- Viewing webpages
- Preparing icons and toolbar images
- Adding a preferences pane
- Including pull-to-refresh and other features
Skill Level Intermediate
- Hi, I'm Bill Weinman and welcome to iOS SDK and SQLite Building Data Driven Applications. In this course, I'll show you how to build a solid RSS reader for iOS. It supports all the current iOS fore factors, including the new 5.5" iPhone 6 Plus integrating XML data into a clean and simple presentation. I'll explain how to use the SQLite database, which is included in iOS and display the information in a clear, intuitive table view. I'll teach you how to code the necessary view controllers for your application and how to use the settings application to provide a preferences interface for your users.
Finally, I'll show you how to make a universal app that supports all the current iOS device fore factors, including the new split-view on the iPhone 6 Plus. Creating a data driven application for iOS doesn't have to be a difficult experience, so let's learn how in iOS SDK and SQLite Building Data Driven Applications.
Android App Development: Local Data Storage (2013)with David Gassner3h 41m Intermediate
1. Building a Testbed
2. Building the Database Library
3. Creating the Main Table View
Populating the table view3m 30s
4. Creating the Items Table View
5. Adding New Feeds
6. Viewing Webpages
7. Preparing the Visual Assets
8. Adding a Preferences Pane
9. Adding Features
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.