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Hands-On Functional Programming with Java [Video]

This is the code repository for Hands-On Functional Programming with Java [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

Functional programming, a popular programming paradigm used to simplify many tasks, will help you write flexible and succinct code. This paradigm makes programs easier to reason with because they're deterministic (one specific input will always give you the same output). This course takes a thought-leadership approach, gently introduces you to Functional Programming, and takes you all the way to becoming a master of the paradigm. You'll then learn how to work with higher-order functions, lambda functions, collections and more. You'll learn how to apply the best data structures and algorithms that optimize functions and also how to reuse and refactor functional blocks of code. This course is updated to Java 12 so that you will be ahead of the crowd. By the end of the course, you will have mastered the concepts regarding functional programming along with OOP, to build robust and highly testable applications.

What You Will Learn

  • Utilize the functional programming paradigm on practical problems in Java.
  • You will be able to create robust software with few errors.
  • Discover the Java Stream interface for developing functional source code.
  • Implement lambda expressions all through your code, making it more readable and maintainable.
  • You will implement the Collections framework and all of its interfaces.

Instructions and Navigation

Assumed Knowledge

You can fully benefit from the coverage included in this course:
If you are a Java developer and want to improve your applications using the functional programming approach, then this course is for you. A solid understanding of Java concepts is required.

Technical Requirements

This course has the following software requirements:

For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:

OS: Windows, Mac and Linux Processor: Intel i5 Memory: 4GB Storage: 256GB

Software Requirements:

AWS account with appropriate IAM roles, Jupyter notebook, EC2 instances, and so on Operating system: Windows/Linux/OSX Browser: Firefox/Chrome/Safari Visual Studio Code IDE, latest version

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