Download as PDF, PPTX
![Basics
❏ Lists ()
❏ Vectors []
❏ Assign with Let
❏ “Strings”
❏ seq
❏ if](https://image.slidesharecdn.com/clojurescala-191107060019/75/Clojure-Scala-17-2048.jpg)
![Exercises
1. Write a function which returns the last element in a sequence without using *last*.
Test data: (A) [10 20 30 40 50] (B) '(10 8 1) (C) ["x" "y" "z"]
2. Write a function which sum of a sequence of numbers without using *reduce*.
Test data: (A) [1 2 3 4 5 6] (B) '(0 0 -1 1 2 3) (C) #{40 50 25 15 10}
3. Write a REST service with clojure, all persistence needs to be done in memory using maps or records.
You will need to create an BANK application with: deposit, withdrawal, check balance, transfer
money into other accounts. You will need do proper validations and also unit tests. Your application
need to use lein and compojure there are no other frameworks/libs allowed.
You cannot use: for, if and let.](https://image.slidesharecdn.com/clojurescala-191107060019/75/Clojure-Scala-37-2048.jpg)
![Basics
❏ Lists ()
❏ Vectors []
❏ Assign with Let
❏ “Strings”
❏ seq
❏ if](https://crownmelresort.com/image.slidesharecdn.com/clojurescala-191107060019/75/Clojure-Scala-17-2048.jpg)
![Exercises
1. Write a function which returns the last element in a sequence without using *last*.
Test data: (A) [10 20 30 40 50] (B) '(10 8 1) (C) ["x" "y" "z"]
2. Write a function which sum of a sequence of numbers without using *reduce*.
Test data: (A) [1 2 3 4 5 6] (B) '(0 0 -1 1 2 3) (C) #{40 50 25 15 10}
3. Write a REST service with clojure, all persistence needs to be done in memory using maps or records.
You will need to create an BANK application with: deposit, withdrawal, check balance, transfer
money into other accounts. You will need do proper validations and also unit tests. Your application
need to use lein and compojure there are no other frameworks/libs allowed.
You cannot use: for, if and let.](https://crownmelresort.com/image.slidesharecdn.com/clojurescala-191107060019/75/Clojure-Scala-37-2048.jpg)
Uploaded byDiego Pacheco
Clojure & Scala
This document provides an overview of the Clojure and Scala programming languages. Clojure is a Lisp dialect that runs on the JVM and was created in 2007 by Rich Hickey. It emphasizes immutability and functional programming. Scala is a multi-paradigm language that runs on the JVM and was created in 2004, based on Haskell. It is statically typed and supports both object-oriented and functional programming. Both languages can be used for web development, with Clojure using Compojure/Ring and Scala using SBT as their build systems. Examples of core functions like map, filter, and reduce are provided for each language.
More Related Content
![Support, Monitoring, Continuous Improvement & Scaling Agentic Automation [3/3]](https://cdn.slidesharecdn.com/ss_thumbnails/agenticcommunityseries-day3-cfd-251120170304-ddef8112-thumbnail.jpg?width=640&height=640&fit=bounds)
Clojure & Scala
- 1. Clojure / Scala DiegoPacheco
- 3. Clojure ❏ 2007 ❏ RichHickey ❏ JVM based but also CLR and JavaScript ❏ Functional dialect of Lisp ❏ Immutability & Immutable Data Structures ❏ Great interoperability with Java ❏ But -> Slow and Hard to troubleshoot.
- 4. Who is usingClojure? https://clojure.org/community/companies
- 7. “Function as Data,Data as functions” -- RH. You don't need classes: Just Functions and Data!
- 9.
- 10.
- 12. Getting started withlien (Clojure build system) ❏ Clojure Build System ❏ Compatible with Maven Repos ❏ Super Easy to use https://leiningen.org/
- 13. Hello World onlein REPL
- 14. From a File(*.clj)
- 15. From a File(*.clj)
- 16. From a File(*.clj)
- 17. Basics ❏ Lists () ❏Vectors [] ❏ Assign with Let ❏ “Strings” ❏ seq ❏ if
- 18.
- 19.
- 20.
- 21.
- 22.
- 23.
- 24.
- 25.
- 26.
- 27. Sets ❏ Like MathSets ❏ Unsorted ❏ NO Duplicates ❏ Efficient: ❏ Checking ❏ Removal ❏ (sorted-set)
- 28.
- 29. Maps ❏ Also knownas ❏ Dictionaries ❏ Hash Maps ❏ Assoc k/v pairs ❏ Domain data ❏ (sorted-map)
- 30. Working with “Pojos”== Maps. ❏ What can you do with a Pojo in OOP? Nothing. ❏ In clojure? A lot !!! ❏ Remember “Alan Perlis” ❏ No need to define “schema” ❏ Productivity ❏ Simplicity
- 31. defrecord here isour class be happy :-)
- 32. https://github.com/clojure/core.match Clojure also hasPattern Matcher
- 33. Web Development ...Compojure & Ring $ lein new compojure hello-world $ cd hello-world $ lein run server-headless
- 34. Open your browseron http://localhost:3000/
- 35.
- 36.
- 37. Exercises 1. Write afunction which returns the last element in a sequence without using *last*. Test data: (A) [10 20 30 40 50] (B) '(10 8 1) (C) ["x" "y" "z"] 2. Write a function which sum of a sequence of numbers without using *reduce*. Test data: (A) [1 2 3 4 5 6] (B) '(0 0 -1 1 2 3) (C) #{40 50 25 15 10} 3. Write a REST service with clojure, all persistence needs to be done in memory using maps or records. You will need to create an BANK application with: deposit, withdrawal, check balance, transfer money into other accounts. You will need do proper validations and also unit tests. Your application need to use lein and compojure there are no other frameworks/libs allowed. You cannot use: for, if and let.
- 38. Scala ❏ 2004 ❏ FunctionalPrograming Language ❏ Based on Haskell ❏ Runs on the JVM also JavaScript ❏ Statically typed ❏ Better Java ❏ Awesome for Big Data / ML ❏ Created by Martin Odersky
- 39. SBT ❏ Build Systemfor Scala ❏ IF you are working with scala you also could do: ❏ Maven ❏ Gradle ❏ In practice SBT is the right choice.
- 40.
- 41.
- 42. SBT has aREPL too ($ sbt console)
- 43. Functions ❏ Functions ❏ Lambdas ❏Are all Objects ❏ Since implementation in java (JVM).
- 44. Partial Application ❏ Partial ❏Lazy ❏ Composition ❏ Re-use
- 45. Partial Application viaCurrying ❏ Partial ❏ Lazy ❏ Composition ❏ Re-use
- 46. Variable lengths argumentsor in java terms varargs. ❏ * ❏ Dynamic ❏ Generic ❏ Similar to java
- 47. OOP in Scala:Class ❏ Scala support OOP ❏ Here is the better java part starts ❏ Simple ❏ Clean ❏ Less Verbose
- 48. OOP in Scala:Class Constructor + String Interpolation
- 49. OOP in Scala:Inheritance ❏ Class Hierarchy ❏ Polymorphism
- 50. OOP in Scala:Polymorphism Overriding ❏ Class Hierarchy ❏ Polymorphism ❏ Overriding
- 51. OOP in Scala:Traits ❏ Similar to Java Interfaces ❏ However you can have code ❏ Fundamental part of type system (“Algebra”) ❏ One of best things in Scala ❏ Be Careful it can get crazy :D ❏ Stay practical stay clean!
- 52. OOP in Scala:Generics + Types ❏ Generics ❏ Types ❏ Abstractions ❏ Leverage Compiler ❏ Haskell way
- 53. Apply ❏ Apply ❏ Coderuns ❏ Default in Scala ❏ Like toString In Java but better ❏ Super useful
- 54. OOP in Scala:Objects ❏ Different then Java Objects ❏ Objects are single instance ❏ It's how you do Singletons in Scala ❏ Great for org static functions ❏ Often classes have companion Objects in Scala. ❏ Functions in Scala are Objects.
- 55. Pattern Matcher ❏ Oneof the best features In Scala Language. ❏ Support ifs ❏ Support “_” ❏ Support type matching ❏ Better than Switch
- 56.
- 57. Case classes ❏ Oneof the best features In Scala Language. ❏ Super charged Classes ❏ Equality & toString Support ❏ Work on Pattern Matcher ❏ Super clean syntax
- 58. Collections ❏ Like inJava ❏ But much better ❏ Immutable ❏ Mutable ❏ Tupes ❏ Sets, Arrays, Lists, ❏ Maps vs Map
- 59. map, filter, foldLeft ❏Functional Combinators ❏ Core FP prog ❏ Super useful ❏ Day by Day work
- 60. Exercises 1. Write afunction which finds the last element in a List without using *last*. Test data: (A) List(1,2,3,4,5,6,7,8) (B) List(“1”,”2”,”3”) (C) List(1.0,2.0,3.0) 2. Write a function which Flatten a nested list structure. Test data: (A) flatten(List(List(1, 1), 2, List(3, List(5, 8)))) (B) (List(), 2, List(3,4)) 3. Write a REST service with Scala, all persistence needs to be done in memory using maps or records. You will need to create an BANK application with: deposit, withdrawal, check balance, transfer money into other accounts. You will need do proper validations and also unit tests. Your application need to use lein and compojure there are no other frameworks/libs allowed. You cannot use: for, if and let.
- 61. Clojure / Scala DiegoPacheco