Functional Programming in Javascript with Categories (The Course)
Course Info
This course includes 1 attempt.
This is a course that covers the outline of the book "Functional Programming in Javascript with Categories"
NOTE: The Full Book: "Functional Programming in Javascript with Categories" is provided FREE with the current course.
As the Javascript becomes more and more functional, in 2019 Javascript developers have to be familiar with the functional paradigm. This course, even small in scale, aims to present how some of the mathematical concepts of Category theory that have emerged in those two different programming paradigms. The concepts are applicative in many other programming languages like .NET, Java, Scala, F# or even Haskell
This course includes- 1,5-hour on-demand video
What you'll learn
- Core Functional concepts like Functors, Monads, pattern matching, recursion
- The theory behind modern functional programming and Introductory Category theory and how it relates to Functional programming
- Javascript language features that can be used in Functional programming
Requirements
- You should at least have a couple of years of experience developing with Javascript
Course Material
- Video Lesson 1: Functors
- Video Lesson 2: Id pattern matching
- Video Lesson 3: Maybe Functor
- Video Lesson 4: Maybe pattern matching
- Video Lesson 5: Pattern matching and Polymorhism
- Video Lesson 6: Promise
- Video Lesson 7: Lazy as Functor
- Video Lesson 8: Pattern matching on native Array
- Lesson 9: Maybe Functor Example
- Video Lesson 10: Either
- Video Lesson 11: Either Functor Example
- Video Lesson 12: Identity Monad
- Video Lesson 13: Maybe Monad
- Video Lesson 14: Maybe Monad Example
- Video Lesson 15: Either Monad
- Video Lesson 16: Either Monad Example
- Video Lesson 17: Is Promise a Monad
- Video Lesson 18: Promise Functor Example
- Video Lesson 19: Promise Monad Example
Instructors
I have more than 17 years’ experience as full stack developer and Architect.
I Like to stay in touch with all the latest developments in the field, as well as the foundational Theoretical Computer science and algorithm Analysis and Design
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