Functional Programming for Java Developers Course

Course Summary

The Functional Programming for Java Developers training course is designed to provide the Java Developer with the knowledge and skills to incorporate functional programming into their daily coding lives.

The course begins by covering the fundamentals of functional programming in contrast to imperative programming and how functional style can reduce bugs, and increase the maintainability of code. Next, students will learn about immutability, pure functions, functions as first-class values, higher-order functions, and simple monads. The course also introduces functional concurrency, with Java’s Promise mechanism, provided by the CompletableFuture API. The course also teaches how to mix programming styles during migration, and how to handle exceptions in a functional system. The course concludes with investigating the overlap between object-oriented programming concepts such as the Liskov Substitution Principle and design patterns with functional concepts.

Hands-on exercises will be incorporated throughout to enhance learning.

Purpose

Learn to utilize functional programming when creating code.

Audience

Developers and developer teams needing to learn Functional Programming for Java Developers.

Role

Data Scientist - Software Developer - Web Developer

Skill Level

Intermediate

Style

Workshops

Duration

3 Days

Related Technologies

Java

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Productivity Objectives:

Describe Functional Programming and how it differs from imperative programming
Explain how side-effect-free functions reduce errors and are easier to test
Employ immutable data, and understand how immutable data structures can be used in a memory-efficient way
Formulate higher-order functions and use syntax that simplifies these constructs
Utilize generics, along with co- and contra-variance to create more reusable functional code
Examine Monads and Functors and common operations these provide
Use common Monadic libraries for parallel and asynchronous data processing

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about our training

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

What You'll Learn

In the Functional Programming for Java Developers training course, you'll learn:

Introducing the Pure Function Concept
- What are “side effects”?
- What are “observable side effects”?
- Why we care: composability of program elements and maintenance
- Avoiding mocking: Testing a pure function
- Refactoring our thinking and designs for pure functions
Immutability in the Real World
- Unresolved and resolved values
- Variable names and “meaning something else”
- Expressions versus variables
- Warning: Initialization is mutation
- Overview of recursion
- Overview of immutable data structures
Solving a Simple Design Problem Using Imperative and Functional Styles
- Printing items from a list
- Passing behavior as function arguments
- Introduction to higher-order functions
Java’s Lambda Syntax
- Lambdas
- The single abstract method and functional interfaces
- Method reference syntax
Behavior Factories
- Methods returning behaviors
- Returning behaviors that depend on the factory arguments
- Closures in Java
- Function decorators
- Investigating some of Java’s standard function decorators
The Importance of Generics in Functional Programming
- Generics as the polymorphism of functional style
- Using generics to describe higher-order functions
- Co- and contravariance in higher-order function arguments
Introduction to the Monad Concept
- A smart container
- Selecting items
- Changing items, the Functor
- The flatMap method, the Monad
Introduction to Producing a Final Result
- The reduce operation
More Advanced and Parallel Production of a Result
- The Monoid
- Reductions to a different type
- Fold operations
Overview of Monad-like Libraries and Frameworks
- Java Streams
- Java’s Promise API, the CompletableFuture
- Spark Streaming
Handling Errors in Functional Programming
- Using reliable, purpose-specific, abstract data types can avoid problems
- Total vs partial functions
- The trouble with exceptions
- Using Optional and Either monad-like features
- Wrapping code that throws exceptions