This document provides a brief introduction to functional programming concepts including pure functions, higher order functions, avoiding side effects, and using declarative rather than imperative style. It emphasizes composing software with pure functions, treating functions as first-class objects, and using map and reduce functions over iteration to transform and combine collections of data in a non-mutating way.
Funtional Programming is a software developing method that uses pure functions. This method of developing software follows a declarative approach that relies on expressions and declarations rather than statements.
Functional code is usually more predictable, concise and easier to test than object oriented code and takes advatage of data structures that prevent propererties from being changed at any level in the object hierarchy.
Flip through the presentation below to view a few examples we've put together of how functional programming works as opposed to non-functional programming.
Funtional Programming is a software developing method that uses pure functions. This method of developing software follows a declarative approach that relies on expressions and declarations rather than statements.
Functional code is usually more predictable, concise and easier to test than object oriented code and takes advatage of data structures that prevent propererties from being changed at any level in the object hierarchy.
Flip through the presentation below to view a few examples we've put together of how functional programming works as opposed to non-functional programming.
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Este año se cumple el 10º aniversario de la publicación de uno de los papers que más impacto han tenido en la evolución de Internet. Elaborado por dos ingenieros de Google, supuso el pistoletazo de salida para el surgimiento de las tecnologías que se engloban dentro del concepto Big Data. En la charla introduciremos los conceptos básicos de este modelo de programación y realizaremos un ejemplo utilizando el lenguaje python.
Using functional concepts in Python. Introduction to functional programming and exploring each of the concepts, like map, filter and reduce in detail and how functional programming can help creating massively parallel software systems
Abstract: This PDSG workshop introduces basic concepts of the argmax equation. The max and argmax equations are contrasted, how argmax is applied to discrete and continuous sets, along with examples.
Level: Fundamental
Requirements: No prior programming or statistics knowledge required.
An introduction to cloud programming models and the Skywriting project. Talk originally given at Imperial College, London, on 13th May 2010.
More information about the Skywriting project can be found here: http://www.cl.cam.ac.uk/netos/skywriting/
(Almost) Serverless Analytics System with BigQuery & AppEngineGabriel PREDA
The story of a gradual moved to a(n almost) serverless analytics system and an how to start with BigQuery. A way to create a serverless analytics system in Google Cloud. Live queries on 'huge datasets' were be performed.
Este año se cumple el 10º aniversario de la publicación de uno de los papers que más impacto han tenido en la evolución de Internet. Elaborado por dos ingenieros de Google, supuso el pistoletazo de salida para el surgimiento de las tecnologías que se engloban dentro del concepto Big Data. En la charla introduciremos los conceptos básicos de este modelo de programación y realizaremos un ejemplo utilizando el lenguaje python.
Using functional concepts in Python. Introduction to functional programming and exploring each of the concepts, like map, filter and reduce in detail and how functional programming can help creating massively parallel software systems
Functional Programming for OO Programmers (part 2)Calvin Cheng
Code examples demonstrating Functional Programming concepts, with JavaScript and Haskell.
Part 1 can be found here - http://www.slideshare.net/calvinchengx/functional-programming-part01
Source code can be found here - http://github.com/calvinchengx/learnhaskell
Let me know if you spot any errors! Thank you! :-)
(video of these slides available here http://fsharpforfunandprofit.com/fppatterns/)
In object-oriented development, we are all familiar with design patterns such as the Strategy pattern and Decorator pattern, and design principles such as SOLID.
The functional programming community has design patterns and principles as well.
This talk will provide an overview of some of these, and present some demonstrations of FP design in practice.
This slide contains short introduction to different elements of functional programming along with some specific techniques with which we use functional programming in Swift.
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2. What is functional programming?
● Immutable data, first class functions, currying, mapping, reducing,
pipelining, recursing…
Software composed of pure functions
“
”
3. Pure Functions
★ A pure function is a function that has no side effects
The function doesn’t rely on data outside the current function, and it
doesn’t change data that exists outside of the current function
★ Given the same inputs, it will always return the same output
“
”
5. Avoid side effects
var potato = 0;
function increment() {
return potato += 1;
}
increment(potato) {
return potato + 1;
}
non-functional
functional
6. Declarative not imperative
function sumOfSquares(nums) {
var i, sum = 0, squares = [];
for (i = 0; i < nums.length; i++) {
squares.push(nums[i]*nums[i]);
}
for (i = 0; i < squares.length; i++) {
sum += squares[i];
}
return sum;
}
console.log(sumOfSquares([1, 2, 3, 4, 5]));
Imperative
★ Not how, but what to do
8. Higher Order functions
★ A function that takes a function as an input or returns a function as output,
or both
function speakTruth(name) {
return function (string) {
return name + “ ” + string;
};
}
var truthifier = speakTruth(“Ed”);
truthifier(“is bad at foos”);
=> “Ed is bad at foos”
9. Don’t iterate
★ Use map and reduce
A Map takes a function and a collection of items. It
makes a new, empty collection, runs the function on each
item in the original collection, and inserts each return
value into the new collection. It then returns the new
collection.
Map
Reduce takes a function and a collection of
items. It returns a value that is created by
combining the items.
Reduce
10. Map, an eggjampool
var names = [“Mary”, “Isla”, “Sam”];
var code_names = [“Mr. Pink”, “Mr. Orange”, “Mr. Blonde”];
for(var i in code_names) {
var randomIndex = Math.floor(Math.random() * code_names.length);
var randomValue = code_names[randomIndex];
names[i] = randomValue;
}
console.log(names);
=> ["Mr. Blonde", "Mr. Pink", "Mr. Pink"]
Iterative Approach
11. Map, an eggjampool cont.
var names = [“Mary”, “Isla”, “Sam”];
var code_names = [“Mr. Pink”, “Mr. Orange”, “Mr. Blonde”];
names = names.map(function(item) {
var randomIndex = Math.floor(Math.random() * code_names.length);
var randomValue = code_names[randomIndex];
return randomValue;
});
console.log(names);
=> ["Mr. Orange", "Mr. Orange", "Mr. Blonde"]
Using Map
12. Pure Functions, an example
★ A pure function is a function that has no side effects
var a = 0;
function increment() {
return a += 1;
}
increment(a) {
return a + 1;
}
non-functional
functional