Gain insights into functional programming with OCaml and Haskell, explore lambda calculus, abstractions, and dataflows, and learn to apply these concepts to real-world scenarios, contrasting with Java.

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

Because the imperative paradigm is conceptually tied to the Von Neumann computer architecture.

Because imperative programming does not support functions.

Because imperative programming lacks combination operators.

**(Select all that apply)** Why is the ability to form abstraction and composition limited in the imperative programming paradigm?


(Select all that apply) Why is the ability to form abstraction and composition limited in the imperative programming paradigm?

**(Select all that apply)** Which types of programming are programming paradigms?

(Select all that apply) Which types of programming are programming paradigms?

Problems related to domain-specific languages (DSLs) and structures with a well-defined syntax such as JSON, XML, and so on.

Problems involved lots of side-effects and mutating states

Problems related to filtering, transforming, and aggregating collections of data.

**(Select all that apply)** Which classes of problems are suitable to be solved by the functional programming paradigm?

(Select all that apply) Which classes of problems are suitable to be solved by the functional programming paradigm?

Infrastructure as code software tool - Terraform

**(Select all that apply)** Which tools and techniques follow the declarative approaches?


(Select all that apply) Which tools and techniques follow the declarative approaches?

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

Quiz on Imperative vs Functional Programming