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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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

# A little history
The `ParallelArray` was part of JSR-166 but ended up being excluded from the standard Java library.
It exists and was released to the public domain. You can download it from the JSR website.



# Parallel array in Java

Although it was already out there, it wasn’t easy to use until closures were included in the
Java language. In Java 7, using the `ParallelArray` looks like the following:

```Java
public class Student {
    String name;
    int graduationYear;
    double gpa;
}
// this predicate
final Ops.Predicate < Student > isSenior =
    new Ops.Predicate < > () {
        public boolean op(Student s) {
            return s.graduationYear == Student.THIS_YEAR;
        }
    };
// and this conversion operation
final Ops.ObjectToDouble < Student > selectGpa =
    new Ops.ObjectToDouble < > () {
        public double op(Student student) {
            return student.gpa;
        }
    };
// create a fork-join-pool
ForkJoinPool fjPool = new ForkJoinPool();
ParallelArray < Student > students = new ParallelArray < > (fjPool, data);
// find the best GPA:
double bestGpa = students.withFilter(isSenior)
    .withMapping(selectGpa)
    .max();
```
In Java 8, we can do the following:

``` Java
// create a fork-join-pool
ForkJoinPool pool = new ForkJoinPool();
ParallelArray < Student > students = new ParallelArray < > (pool, data);
// find the best GPA:
double bestGpa = students
    .withFilter((Student s) - > (s.graduationYear == THIS_YEAR))
    .withMapping((Student s) - > s.gpa)
    .max();
```
However, Java 8’s addition of `stream()` and `parallelStream()` makes this even easier:

``` Java
double bestGpa = students
    .parallelStream()
    .filter(s - > (s.graduationYear == THIS_YEAR))
    .mapToDouble(s - > s.gpa)
    .max().getAsDouble();
```
This makes it extremely simple to switch between a sequential implementation and a concurrent
one.

Parallel Array

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 Array

A little history

Parallel array in Java