Media Summary: In this video we are going to get theoretical! In this video we explore higher order functions, anonymous functions and the functions map and filter. In this video we explore lists, listcomprehensions, matching, etc...

Haskell For Imperative Programmers 37 - Detailed Analysis & Overview

In this video we are going to get theoretical! In this video we explore higher order functions, anonymous functions and the functions map and filter. In this video we explore lists, listcomprehensions, matching, etc... Some exercises in order to get familiar with lists in In this video we explore function definitions. In this video we explore how to create your own datatypes.

In this video we explore the theory of partial function application and its use. In this video we explore the (.) operator and its use. In this video we explore records and their usage. In this video we are going to evaluate to normal form. Documentation: ... In this video we explore foldings on lists.

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Haskell for Imperative Programmers #37 - Arrows
Haskell for Imperative Programmers #36 - Category Theory (Functors, Applicatives, Monads)
Haskell for Imperative Programmers #6 - Higher Order Functions & Anonymous Functions
Haskell for Imperative Programmers #4 - Lists and Tuples
Haskell for Imperative Programmers #5 - List Exercises
Haskell for Imperative Programmers #19 - Infinite Lists
Haskell for Imperative Programmers #2 - Functions, Types, let & where
Haskell for Imperative Programmers #10 - Datatypes
Haskell for Imperative Programmers #7 - Partial Function Application & Currying
Haskell for Imperative Programmers #8 - Function Composition
Haskell for Imperative Programmers #12 - Records
Haskell for Imperative Programmers #32 - DeepSeq
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Haskell for Imperative Programmers #37 - Arrows

Haskell for Imperative Programmers #37 - Arrows

Let's head in the right direction!

Haskell for Imperative Programmers #36 - Category Theory (Functors, Applicatives, Monads)

Haskell for Imperative Programmers #36 - Category Theory (Functors, Applicatives, Monads)

In this video we are going to get theoretical!

Haskell for Imperative Programmers #6 - Higher Order Functions & Anonymous Functions

Haskell for Imperative Programmers #6 - Higher Order Functions & Anonymous Functions

In this video we explore higher order functions, anonymous functions and the functions map and filter.

Haskell for Imperative Programmers #4 - Lists and Tuples

Haskell for Imperative Programmers #4 - Lists and Tuples

In this video we explore lists, listcomprehensions, matching, etc...

Haskell for Imperative Programmers #5 - List Exercises

Haskell for Imperative Programmers #5 - List Exercises

Some exercises in order to get familiar with lists in

Haskell for Imperative Programmers #19 - Infinite Lists

Haskell for Imperative Programmers #19 - Infinite Lists

In this video we tackle infinity.

Haskell for Imperative Programmers #2 - Functions, Types, let & where

Haskell for Imperative Programmers #2 - Functions, Types, let & where

In this video we explore function definitions.

Haskell for Imperative Programmers #10 - Datatypes

Haskell for Imperative Programmers #10 - Datatypes

In this video we explore how to create your own datatypes.

Haskell for Imperative Programmers #7 - Partial Function Application & Currying

Haskell for Imperative Programmers #7 - Partial Function Application & Currying

In this video we explore the theory of partial function application and its use.

Haskell for Imperative Programmers #8 - Function Composition

Haskell for Imperative Programmers #8 - Function Composition

In this video we explore the (.) operator and its use.

Haskell for Imperative Programmers #12 - Records

Haskell for Imperative Programmers #12 - Records

In this video we explore records and their usage.

Haskell for Imperative Programmers #32 - DeepSeq

Haskell for Imperative Programmers #32 - DeepSeq

In this video we are going to evaluate to normal form. Documentation: ...

Haskell for Imperative Programmers #9 - Folding (foldr, foldl)

Haskell for Imperative Programmers #9 - Folding (foldr, foldl)

In this video we explore foldings on lists.