Udemy - Combine Essentials - Publishers, Subscribers, And Subject...

Combine Essentials: Publishers, Subscribers, And Subjects

https://WebToolTip.com

Published 10/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.13 GB | Duration: 2h 44m

Build a strong foundation in Combine and master real-world async data handling in Swift using Publishers and Subjects.

What you'll learn
Understand Combine’s purpose – Learn what Combine is and how it improves async programming.
Grasp core concepts – Master Publishers, Subscribers, Operators, and Subjects.
Use built-in publishers – Work with Just, Future, Timer, and network publishers.
Handle async streams – Manage continuous or delayed data updates.
Differentiate subjects – Know when to use PassthroughSubject vs. CurrentValueSubject.
Transform and decode data – Use Combine operators to process and decode JSON.
Integrate with SwiftUI – Bind Combine pipelines to SwiftUI state properties.
Manage subscriptions – Control stream lifecycles and prevent memory leaks.
Apply MVVM with Combine – Build reactive ViewModels that drive SwiftUI views.
Debug reactive flows – Simulate network streams and trace Combine pipelines.

Requirements
Basic Swift programming skills – Comfortable with variables, functions, and control flow.
Understanding of optionals and error handling – Familiar with Optional, try, do/catch.
Experience with structs and classes – Know how to define and use data models.
Knowledge of closures – Able to write and use completion handlers.
Familiarity with Swift’s async/await – Understand asynchronous execution at a basic level.
Basic SwiftUI experience – Know how to build simple views and bind data with @State or @Published.
Awareness of MVVM architecture – Understand separation between Model, View, and ViewModel.
Some experience with JSON data – Know how to encode and decode JSON using Codable.
Comfort with Xcode – Able to create, build, and run Swift projects.
Fundamental understanding of reactive concepts – Optional but helpful; awareness that data can “stream” or change over time.