Kotlin + Maths

Grab your notebook cause in this talk, we are gonna talk about Math and Kotlin! Especially in the power that Kotlin has to run long operations and the power to perform some calculations like computing min, max, an average of numbers stored in a list! - from sumOf {} to multi-dimensional arrays to charts!

Transcript

1. Kotlin + Maths Dinorah Tovar @ddinorahtovar Google Developer Expert - Android Santo Domingo
2. Disclaimer - I’m not a data science engineer
3. Left Aligned Title Kotlin help us to solve many problems - but specially in maths! Math’s are coolest thing! • A fast operational language • Mathematical expressions • Algebraic data types (sealed class) • We can do simple functions - from basic to complex
4. Simple quote or statement goes here. Ideally limit to four or five lines max. This function takes mseconds 258 fun main() { val y = complex(2, 1) var x = complex(0, 0) val time = measureTimeMillis { repeat(10000000) { x += y x *= y x -= y x /= y } } }
5. Simple quote or statement goes here. Ideally limit to four or five lines max. This function takes seconds 2.76 def main(): z = complex(2, 1) w = complex(0, 0) start = time.time() for i in range(0, 10000000): w += z w *= z w -= z w /= z ende = time.time()
6. 9 times At least more efficient
7. Mathematical expressions are pretty much pseudocode
8. Left Aligned Title 2x + 10 First degree equation fun calc(x: Int) : Int { return 2*x + 10 }
9. Left Aligned Title 10 ∑ i=1 1 i + 1 Summation val sum = 0 for (i in 1..10) { sum += 1/(i+1) } fun f() = (1..10).map { i -> 1 / (i + 1) }.sum()
10. Left Aligned Title 3 ∏ i=1 i Product fun f() = (1..3).fold( 1L, Long::times)
11. ADT is a type which is represented by several other subtypes
12. Simple quote or statement goes here. Ideally limit to four or five lines max. ADT are only Class Sealed sealed class Tree<out T> data class Node<T>( val value: T, val left: Tree<T> = Empty, val right: Tree<T> = Empty ) : Tree<T>()
13. Simple quote or statement goes here. Ideally limit to four or five lines max. ADT can create Sequences Nodes fun f() { val tree = Node( 10, 20, Node(40, 20, 10) ) // we can create ext function // and get the result }
14. Algebraic operations
15. Left Aligned Title {1,2,4,10} Average Max - Min fun f() { val seq = floatArrayOf( 1F, 2F, 4F, 10F ) val avg = seq.average() val max = seq.max() val min = seq.min() }
16. Left Aligned Title ( 222 222 222 ) Multi- dimensional Vectors fun f() { val mx = arrayOf( arrayOf(floatArrayOf(2F, 2F, 2F)), arrayOf(floatArrayOf(2F, 2F, 2F)), arrayOf(floatArrayOf(2F, 2F, 2F)) ) val normArray = mx.map { column -> column.map { row -> row.map { element -> element / 255F } } } }
17. Probability and Statistics
18. Let’s solve a problem Let’s calculate the probability of the weather in the last week in Mexico City! Last week weather Partially Sunny Rainy Rainy Cloudy Partially Sunny
19. Just rainy probability val weatherMexicoCity = arrayOf( "Partially Sunny", "Rainy" , "Partially Sunny" , "Cloudy", "Rainy" ) val rainyProbability = weatherMexicoCity.count { it == "Rainy" } / weatherMexicoCity.size
20. How about all the weathers val weatherMexicoCity = arrayOf( "Partially Sunny", "Rainy" , "Partially Sunny" , "Cloudy", "Rainy" ) val generalProbability = weatherMexicoCity.map { label -> labels.count { it == label } / labels.size }
21. Charts + Statistics
22. Kotlin has integration for Notebooks - specifically for Jupiter
24. Kotlin + Maths Dinorah Tovar @ddinorahtovar Google Developer Expert - Android Santo Domingo