Reactive programming with RxJava
Reactive programming with RxJava, available at $49.99, has an average rating of 4.15, with 26 lectures, based on 33 reviews, and has 3383 subscribers.
You will learn about When to use RxJava and when to use regular Java streams What's the difference between RxJava and Java standard concurrency library Understand marble diagrams Apply Functional Reactive Programming (FRP) principles Boost application performance with painless, safe, multithreading code Write asynchronous code optimized for concurrency and parallel processing This course is ideal for individuals who are Java programmers (either Android or server side) facing concurrency and multithreading challenges It is particularly useful for Java programmers (either Android or server side) facing concurrency and multithreading challenges.
Enroll now: Reactive programming with RxJava
Summary
Title: Reactive programming with RxJava
Price: $49.99
Average Rating: 4.15
Number of Lectures: 26
Number of Published Lectures: 26
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- When to use RxJava and when to use regular Java streams
- What's the difference between RxJava and Java standard concurrency library
- Understand marble diagrams
- Apply Functional Reactive Programming (FRP) principles
- Boost application performance with painless, safe, multithreading code
- Write asynchronous code optimized for concurrency and parallel processing
Who Should Attend
- Java programmers (either Android or server side) facing concurrency and multithreading challenges
Target Audiences
- Java programmers (either Android or server side) facing concurrency and multithreading challenges
Functional Reactive Programming (FRP) is a different programming paradigm, just like Object Oriented Programming. It has gotten traction in the recent years where more and more technology adopt it for building responsive, reliable and maintainable systems. Writing multithreading code is usually difficult because you need to think how several pieces move at the same time and work together.
In this course I’ll teach you RxJava, the Java implementation of Reactive Extensions to write safe, reliable multithreading code. It’s being heavily in use in Android applications, but this course presents RxJava concepts in a generic way. You don’t need to know anything about Android to use this course, learn and use RxJava in any kind of Java application.
You will learn how RxJava compares with Java standard library for writing multithreading code, and the parallel streams introduced in Java 8. In the section about use cases, I present you some examples of how RxJava solves particular challenges, so you can get started quickly. This course is meant to serve as a quick reference, the section about use cases doesn’t follow a particular order, so you can skip and come back to lectures as you see fit.
The concepts you learn here will also help you understand other libraries that were inspired by Reactive Extensions.
(Music: bensound)
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Functional Reactive Programming
Chapter 2: RxJava Concepts
Lecture 1: Observer design pattern
Lecture 2: Marble diagrams and RxJava Javadocs
Lecture 3: Java native streams and RxJava
Lecture 4: RxJava and standard concurrency library
Lecture 5: Hot vs cold observables
Lecture 6: Exercise
Lecture 7: Multithreading part 1: subscribeOn
Lecture 8: Multithreading part 2: observeOn
Lecture 9: Multithreading part 3: subscribeOn with multiple events
Lecture 10: Parallel processing
Lecture 11: Schedulers
Lecture 12: Error Handling
Lecture 13: Flowables and backpressure
Lecture 14: Backpressure 2
Lecture 15: Backpressure 3
Lecture 16: Testing
Chapter 3: Use Cases
Lecture 1: Broadcast event bus
Lecture 2: Efficient incremental text search
Lecture 3: Memoization: cache of expensive functions
Lecture 4: Timeout and retry on failed network requests
Lecture 5: Chained and parallel network requests
Lecture 6: Periodic cache refresh
Lecture 7: Backoff strategy for rate limiting API's
Chapter 4: Conclusion
Lecture 1: Final toughts
Instructors
-
German Muzquiz Rodriguez
Software Engineer
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 7 votes
- 4 stars: 14 votes
- 5 stars: 9 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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