sete linguagens em sete semanas
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Renan Ranelli discusses the importance of learning multiple programming languages and provides insights into various languages such as Ruby, Scala, Erlang, Clojure, and Haskell. He emphasizes that understanding languages' characteristics and their ecosystems is crucial for development, rather than merely classifying them as object-oriented or functional. The presentation aims to illustrate how diverse programming languages can improve one's skills and problem-solving capabilities in software development.
sete linguagens em sete semanas
- 1. SEVEN LANGUAGES IN SEVEN WEEKS Renan Ranelli
- 3. Software Engineer @ Renan Ranelli (Milhouse)
- 6. AGENDA • Why should I care about learning new languages? • A little bit about the languages in the book and how they compare with Ruby • What I learned during the last few years
- 7. WHO IS THIS TALK FOR • You, who is an Object oriented programmer and has heard about functional programming • You, who have no clear understanding on why learning many languages will help you be better at your language of choice
- 8. 1 - WHY SHOULD I CARE?
- 9. WHY SHOULD I CARE ? • First of all... • I Think you should learn programming languages • But my opinion probably will not matter to you. So, listen to these guys:
- 14. DISCLAIMER: ALL THE LANGUAGES HERE ARE TURING COMPLETE
- 15. WE WILL A LITTLE ABOUT • Ruby • Io • Prolog • Scala • Erlang • Clojure • Haskell
- 16. WHAT I AIM TO ACHIEVE • I will try to explain what is important when learning a new programming language • I expect to show you that characterizations such as “it is a functional language” or “it is object oriented” is insufficient and most of the times innapropriate • I *Do Not* intend to teach you any of the languages
- 17. WE WILL A LITTLE ABOUT • Ruby • Io • Scala • Erlang • Clojure • Haskell Support for OOP Support for FP
- 18. 2 – SELECTED POINTS ABOUT EACH LANGUAGE
- 19. RUBY • Object oriented, class based, dynamic and strongly typed • *Extremely* meta-programmable • OPEN CLASSES !!!!!! • Complex syntax, complex evaluation rules • Reads like a novel • We all know and love it
- 20. IO • Object oriented, prototype based, strongly typed • Extremely simple and consistent syntax • Heavy emphasis on message passing, not method call. (method is a message that returns an object that can receive the message call) • Easy to create DSLs • Excellent concurrency primitives (futures, corroutines, actors) • CRAZY amount of reflective power
- 21. IO
- 22. IO Message
- 23. IO Message
- 24. IO Message
- 25. IO Message
- 26. IO
- 27. IO
- 28. SCALA • OOP, FP, statically typed, strongly typed • Has a powerful type system (not as much as Haskell's) • Offers advanced FP concepts such as monads and type classes • Easy(-ish) to create DSLs • You can emulate non-strict evaluation with “call by name” vs “call by value” parameter passing strategies • Suffers from the Java legacy to a certain extent (nulls)
- 29. SCALA
- 30. SCALA
- 31. SCALA
- 32. SCALA
- 33. SCALA
- 34. ERLANG • Designed by Ericsson to build telecom software • Alien syntax, derived from Prolog • Functional, enforces extreme isolation of processes. Truly share-nothing. • Amazing support for faul-tolerant, near-real-time distributed application development • Quite opinionated .. • ALIEN SYNTAX
- 35. CLOJURE • Is a LISP (!!1!!11) • FP, supports OOP, strongly typed and dynamically • Strong focus on good concurrency primitives and immutable & persistent data structures • Being a LISP, has macros • Being a LISP, code is data and data is code • Not so Lispy. No custom reader macros and no automatic tail call optimizations (schemers be mad)
- 36. CLOJURE • Although Clojure is a strict language, you can simulate non-strictness using macros • Its possible to define the language on-the-fly, i.e., the language is internally reprogramable (heavy influce in both Ruby and Smalltalk) • Offers the CLOS-like long forgotten multiple-dispatch !
- 37. HASKELL • Non-strict (lazy) pure functional language • No exceptions and no mutable state (!) • Unparalleled type system (at least in production-ready languages) with parametric types, type classes, algebraic data types and type inference • Offers the full pack of FP crazyness: Monads, Monoids, Functors, applicatives, Foldables and Semigroups are common ground among Haskell programmers • Much more close to Math, simplyfing the way we represent abstract, symbolic and self-recursive constructs
- 38. HASKELL • Makes it impossible to mutate state • But allow you to simulate its effects with Monads
- 39. HASKELL
- 40. HASKELL
- 41. HASKELL
- 42. 3 – WHAT I LEARNED AFTER READING THIS BOOK
- 43. WHAT DOES IT TAKE TO LEARN A NEW LANGUAGE ? • Syntax • The programming languages primitives • The type system (strong or weak? Static or dynamic?) • Evaluation rules (precedence, strictness, etc) • Idioms • Libraries • Tools, IDEs, yadda yadda
- 44. WHAT DOES IT TAKE TO USE A LANGUAGE IN PRODUCTION • Meta-programming and extensibility models • Concurrency model • Library distribution • Debugging, IDEs, Tools, Refactoring tools ... • *Community* • Concurrency model (again!)
- 45. YOU CAN'T SEPARATE THE LANGUAGE AND ITS ECOSYSTEM
- 46. IS IT THAT RUBY IS PRODUCTIVE IN ITSELF, OR ARE RUBY LIBRARIES, LIKE RAILS, PRODUCTIVE??
- 48. UNDERSTAND HOW THEY SOLVE PROBLEMS YOU HAVE, OR PROBLEMS YOU DON'T EVEN KNOW YOU HAVE
- 49. GET TO KNOW WHAT YOU CAN IMITATE ! SEE CONCURRENT-RUBY AND CELLULOID !
- 50. THERE IS *A LOT* OF COOL STUFF OUT THERE. LOOK OUTSIDE YOUR COMMUNITY
- 51. HAVE FUN
- 52. HAVE FUN
- 53. OBRIGADO !