Gain insights into Java 17, cloud and microservices, reactive programming, and top JVM languages. Explore hands-on projects using Scala, Groovy, and Gradle to boost your software development career.

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Java 12

Java 14

Java 16

Java 17

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This course is meant for Java programmers or aspiring programmers who want to know about the latest Java and JVM technology. Throughout this course, you will get several opportunities to get hands-on experience with various Java concepts. 

This course will help you understand the latest in Java up to version 17; cloud and microservices; build, testing, and web frameworks; reactive programming in Java; and the best JVM languages so you can advance your career in software development. 

Moreover, you will also get to work with Scala, Groovy, and Gradle. The course explains Java concepts in detail and also draws comparisons with its older versions, as well as JVM languages.

The All-in-One Guide to Java Programming



If we tie a Flowable to one Scheduler as in the previous lesson, it will run in succession, but not in parallel. To run each calculation in parallel, we could use `flatMap` to break out each calculation into a separate `Flowable` as follows:

``` java
public static List doParallelSquares() {
      List squares = new ArrayList();
      Flowable.range(1, 64)
         .flatMap(v -> //1
           Flowable.just(v)
              .subscribeOn(Schedulers.computation())
              .map(w -> w * w)
          )
          .doOnError(ex -> ex.printStackTrace()) //2
          .doOnComplete(() -> System.out.println("Completed")) //3
          .blockingSubscribe(squares::add);

     return squares;
}
```

1. Call `flatMap` with a lambda expression that takes in a value and returns another Flowable.
2. Call `doOnError` to handle errors that occur.
3. Call `doOnComplete` to execute something after a Flowable has been completed. This is only possible
for flowable that have clear endings, such as Ranges.

We can write a test to verify our results using JUnit and Java 8+ in the following way:
``` java
@Test
public void testDoParallelSquares() {
       List<Integer> result = demo.doParallelSquares()
            .stream().sorted().collect(Collectors.toList());

       assertArrayEquals(squares.toArray(), result.toArray());
}
```
Where “squares” is a previously defined list of the proper values (1, 4, 9, etc.).

Parallel Computing

Introduction

Java Syntax and Conventions

Java 7

Idiomatic Java 8: Lambdas, Streams, and Dates

New Date and Time API

Java 8 Miscellaneous

Advantages of Java 9

Java 10 - 17

Java Ecosystem

Maven and JUnit

Utilizing Essential Libraries

Modern Java Concurrency

RxJava

Other JVM Languages

Groovy

Gradle

Spock

Scala

RESTful

Microservices and Clouds

Grails

Spark

Spring Boot

Play Framework

Ratpack

Final Thoughts

Appendix

Parallel Computing

Parallel computing in Java