In this course, you'll study the fundamentals and principles of functional programming.

ocaml_utop_haskell.tar.gz

OCaml

Functional programming is a paradigm that builds complete applications by breaking down programs into constituent functions that empowers developers to build fast, bug-resistant applications.

You’ll be introduced to functional programming with illustrative examples contrasting the more widely used imperative programming paradigm. You’ll review lambda calculus as an introduction to expressions, the building blocks of functional programs. You’ll continue with abstractions and complex data types before exploring common computation patterns. Next, you’ll learn how dataflows create whole programs out of existing functions. Finally, you’ll finish by applying your functional programming knowledge to various real-world scenarios. At each step, you’ll learn OCaml and Haskell, while contrasting imperative programming with Java.

By the end of this course, you’ll be prepared to use functional programming in your daily work and have the framework to know when to use either imperative or functional paradigms.

Mastering Functional Programming with OCaml and Haskell

There is an entrenched myth in the software industry that functional programming was invented by university researchers for “math stuff.” Functional programming is widely considered less relevant for real-world software applications, such as food delivery, ride-hailing, and e-commerce. More and more software engineers discover that functional programming is an elegant paradigm to solve many data processing problems in enterprise applications.

This lesson particularly looks into how functional programming allows us to elegantly handle collections of data commonly found in mobile and web applications or back-end services.


Apply functional programming to represent and handle collections in data processing applications.

Introduction

Expressions: Building Blocks of Functional Programs

Building Abstractions with Functions

Compound Data Types

Common Computation Patterns

Dataflow Programming with Functions

Applying Functional Programming to Various Domains

Conclusion

Appendix

Handle Collections in Data Processing Applications