This course note, from the
University of Edinburgh and offered online, emphasizes from a very practical
point of view how to apply basic functional programming concepts in a graphical
environment. Major topics to be covered include recursion, abstraction,
higher-order functions, and several different data types-how all these concepts
can be used to solve problems is demonstrated. The note introduces theoretical
aspects but underlines their practical relevance by showing how these can be put
into practice within graphical programming contexts. Learners develop a solid,
theoretically based understanding of functional programming principles and get
real practical experience applying these principles to graphical applications.
This resource takes an integrated approach in the way that it interrelates
theory and practice, hence acting as a bridge from concepts of functional
programming to real-life practice.
This
is a resource provided by Loyola Marymount University on functional programming.
It starts with a basic explanation and goes further into how one can make a
shift from imperative programming to functional. The key topics it covers are
higher-order functions, which are the backbone for doing functional programming
in order to write abstract code reuse. This paper describes closures and purity,
including side effects, in detail to apprise the reader about the value of
immutability and functional purity. It describes both the functional and
object-oriented programming paradigms, then it points to point-free programming,
and concludes with an overview of the functional programming landscape. This
should be a good reference for students and practitioners alike who want to know
about the basics in functional programming and its theoretical underpinnings.
These lecture notes by Piyush
P Kurur elaborates on various functional programming topics in depth. The
contents of the following topics are functional programming-introduction,
pattern matching, and some useful algorithms like The Sieve of Eratosthenes and
the Fibonacci Series. Advanced topics include folding of lists, lambda calculus,
modules, type inference, and type classes. Examples of practical applications,
such as an expression evaluator and functions with variable arguments, will
provide learners with a sense of how theoretical material might be applied in
real-world situations. These detailed lecture notes are intended for readers who
would like to go through functional programming in depth - both explanations and
exercises.
This course note, from the
University of Edinburgh and offered online, emphasizes from a very practical
point of view how to apply basic functional programming concepts in a graphical
environment. Major topics to be covered include recursion, abstraction,
higher-order functions, and several different data types-how all these concepts
can be used to solve problems is demonstrated. The note introduces theoretical
aspects but underlines their practical relevance by showing how these can be put
into practice within graphical programming contexts. Learners develop a solid,
theoretically based understanding of functional programming principles and get
real practical experience applying these principles to graphical applications.
This resource takes an integrated approach in the way that it interrelates
theory and practice, hence acting as a bridge from concepts of functional
programming to real-life practice.
Authored by Graham Hutton, this online course module introduces the basic
axioms of functional programming using Haskell, which is a modern functional
programming language. It introduces the learner to the basic ideas of functional
programming: immutability of data, purity of function, higher-order functions.
Students will work through practical examples and exercises to build a firm
grasp of methods in functional programming. This course is aimed at
understanding and applying core principles in Haskell to enable learners to
fathom the advantages and paradigms of functional programming. Therefore, it's a
good resource for beginners who wish to investigate functional programming
through getting their hands dirty with Haskell.