Upgrade to Pro — share decks privately, control downloads, hide ads and more …

pypy - o interpretador mais rapido do velho oeste

Sponsored · Ship Features Fearlessly Turn features on and off without deploys. Used by thousands of Ruby developers. →
Avatar for Andrews Medina Andrews Medina
October 05, 2013
Technology
420
0

pypy - o interpretador mais rapido do velho oeste

Palestra sobre pypy apresentada na pythonbrasil[9].

Avatar for Andrews Medina

Andrews Medina

October 05, 2013

More Decks by Andrews Medina

See All by Andrews Medina
Organizando dados juŕidicos em grafos
Avatar for Andrews Medina andrewsmedina
0
110
Clean Code - princípios e práticas para um código sustentável
Avatar for Andrews Medina andrewsmedina
0
710
Pytfalls
Avatar for Andrews Medina andrewsmedina
1
210
tsuru para quem sabe tsuru
Avatar for Andrews Medina andrewsmedina
0
92
globo.com s2 python
Avatar for Andrews Medina andrewsmedina
5
400
tsuru and docker
Avatar for Andrews Medina andrewsmedina
6
3.6k
fazendo deploys de forma simples e divertida com tsuru
Avatar for Andrews Medina andrewsmedina
3
150
let's go
Avatar for Andrews Medina andrewsmedina
2
320
TDD for Dummies
Avatar for Andrews Medina andrewsmedina
3
390

Other Decks in Technology

See All in Technology
巨大プラットフォームを進化させる「第3のROI」
Avatar for Recruit recruitengineers
PRO
2
1.1k
国内外の生成AIセキュリティの最新動向 & AIガードレール製品「chakoshi」のご紹介 / Latest Trends in Generative AI Security (Domestic & International) & Introduction to AI Guardrail Product "chakoshi"
Avatar for NTT docomo Business nttcom
4
1.4k
弁護士ドットコム株式会社 エンジニア職向け 会社紹介資料
Avatar for 弁護士ドットコム bengo4com
1
180
サイボウズ 開発本部採用ピッチ / Cybozu Engineer Recruit
Avatar for Cybozu cybozuinsideout
PRO
10
79k
260422_Sansan_Tech_Talk__関西_vol.3_データ活用のリアル__矢田__.pdf
Avatar for SansanTech sansantech
PRO
0
120
No Types Needed, Just Callable Method Check
Avatar for dak2 dak2
1
1.8k
Rapid Start: Faster Internet Connections, with Ruby's Help
Avatar for kazuho kazuho
2
760
ハーネスエンジニアリングの概要と設計思想
Avatar for sergicalsix sergicalsix
9
5.3k
「SaaSの次の時代」に重要性を増すステークホルダーマネジメントの要諦 ～解像度を圧倒的に高めPdMの価値を最大化させる方法～
Avatar for KAKEHASHI kakehashi
PRO
3
2.4k
EBS暗号化に失敗してEC2が動かなくなった話
Avatar for Moe Hamaguchi hamaguchimmm
2
210
EMから幅を広げるために最近挑戦していること / Recent challenges I'm undertaking to expand my horizons beyond EM
Avatar for hiro-torii hiro_torii
1
110
Do Ruby::Box dream of Modular Monolith?
Avatar for Tomohiro Hashidate joker1007
1
350

Featured

See All Featured
Google's AI Overviews - The New Search
Avatar for Barry Adams badams
0
980
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
Avatar for AKADEMIYA2063 akademiya2063
PRO
1
96
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
Avatar for Eileen M. Uchitelle eileencodes
38
2.8k
Evolving SEO for Evolving Search Engines
Avatar for Ryan Jones ryanjones
0
180
How to Talk to Developers About Accessibility
Avatar for Jason CranfordTeague jct
2
180
Crafting Experiences
Avatar for Bethany Jepchumba bethany
1
120
Fight the Zombie Pattern Library - RWD Summit 2016
Avatar for Marcelo Somers marcelosomers
234
17k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
Avatar for Irina Nazarova irinanazarova
9
1.3k
Git: the NoSQL Database
Avatar for Brandon Keepers bkeepers
PRO
432
67k
What the history of the web can teach us about the future of AI
Avatar for Ines Montani inesmontani
PRO
1
530
Public Speaking Without Barfing On Your Shoes - THAT 2023
Avatar for David Neal reverentgeek
1
380
Keith and Marios Guide to Fast Websites
Avatar for Keith Pitt keithpitt
413
23k

Transcript

  1. globo .com pypy o interpretador mais rápido do velho oeste

    Saturday, October 5, 13

  2. Saturday, October 5, 13

  3. ‣ djangobrasil ‣ globo.com desde 2008 ‣ splinter ‣ tsuru

    @andrewsmedina Saturday, October 5, 13

  4. ‣ sabe o que é? ‣ sabe o que é

    rpython? ‣ já usou pypy? ‣ já usou rpython? pypy? Saturday, October 5, 13

  5. ‣ rpython ‣ pypy ‣ mitos ‣ como contribuir cronograma

    Saturday, October 5, 13

  6. rpython Saturday, October 5, 13

  7. ‣ quem já teve vontade de escrever um compilador/ interpretador?

    ‣ que já implementou um? ? Saturday, October 5, 13

  8. ‣ python subset ‣ traduz rpython para c ‣ ferramenta

    para escrever interpretadores rpython Saturday, October 5, 13

  9. ‣ sintaxe x implementação x backend ‣ js x jit

    x c ‣ ruby x gc mark sweep x c ‣ ruby x jit x jvm rpython Saturday, October 5, 13

  10. ‣ pypy ‣ topaz ‣ lang-js ‣ lang-scheme ‣ lang-smaltalk

    ‣ pygirl (gameboy) ‣ lang-io ‣ hippy interpretadores Saturday, October 5, 13

  11. pypy Saturday, October 5, 13

  12. ‣ performance ‣ eficiência ‣ compatibilidade com cPython pypy Saturday,

    October 5, 13

  13. performance Saturday, October 5, 13

  14. ‣ python 2.7.3 ‣ algumas coisas em rpython compatibilidade Saturday,

    October 5, 13

  15. ‣ efeito colateral por escrever python em python interpretador level

    vs app level Saturday, October 5, 13

  16. app level Saturday, October 5, 13

  17. interpretador level Saturday, October 5, 13

  18. compatibilidade Saturday, October 5, 13

  19. ‣ navite code > bytecode ‣ compilação do bytecode ‣

    “esquentar o interpretador” jit Saturday, October 5, 13

  20. def f2(x, y): x = hint(x, promote=True) z = x

    * 2 + 1 return z + y jit Saturday, October 5, 13

  21. guard(x == 4) v1 = x * 2 z =

    v1 + 1 v2 = z + y return(v2) jit Saturday, October 5, 13

  22. guard(x == 4) v2 = 9 + y return(v2) jit

    Saturday, October 5, 13

  23. ‣ cPython: reference counting ‣ pypy: minimark garbage collector Saturday,

    October 5, 13

  24. class B(object): def __del__(self): print "oie" garbage collector Saturday, October

    5, 13

  25. >>>> b = B() >>>> b = 1 >>>> garbage

    collector - pypy Saturday, October 5, 13

  26. >>> b = B() >>> b = 1 oie garbage

    collector - cPython Saturday, October 5, 13

  27. b = B() a = B() b.x = a a.x

    = b garbage collector Saturday, October 5, 13

  28. ‣ executar c no python ‣ pip install cffi cffi

    Saturday, October 5, 13

  29. cffi Saturday, October 5, 13

  30. ‣ concorrencia ‣ inspirado pelo http://www.stackless.com/ ‣ http://greenlet.readthedocs.org/en/latest/ stackless Saturday,

    October 5, 13

  31. ‣ paralelismo ‣ baseado em banco de dados stm Saturday,

    October 5, 13

  32. ‣ escrito em rpython ‣ já funciona :) ‣ http://buildbot.pypy.org/numpy-status/latest.html

    numpy + pypy Saturday, October 5, 13

  33. >>>> import numpypy >>>> numpypy.array([1,2,3]) array([1, 2, 3]) >>>> numpy

    + pypy Saturday, October 5, 13

  34. numpy + pypy ‣ 231/559 names ‣ 131/161 ndarray attributes

    ‣ 34/48 dtype attributes ‣ 63/134 generic attributes ‣ 28/32 flatiter attribute Saturday, October 5, 13

  35. mitos Saturday, October 5, 13

  36. integração com c Saturday, October 5, 13

  37. ‣ funciona com ctypes (mysqldb) ‣ cffi integração com c

    Saturday, October 5, 13

  38. ‣ funciona com ctypes (mysqldb) ‣ cffi integração com c

    Saturday, October 5, 13

  39. python3 Saturday, October 5, 13

  40. python3 Saturday, October 5, 13

  41. python3 Saturday, October 5, 13

  42. 6x mais rápido que cPython Saturday, October 5, 13

  43. 6x mais rápido que cPython Saturday, October 5, 13

  44. 6x mais rápido que cPython Saturday, October 5, 13

  45. 6x mais rápido que cPython Saturday, October 5, 13

  46. compilar pypy demora Saturday, October 5, 13

  47. compilar pypy demora Saturday, October 5, 13

  48. compilar pypy demora Saturday, October 5, 13

  49. compilar pypy demora Saturday, October 5, 13

  50. compilar pypy demora Saturday, October 5, 13

  51. ‣ pypy.org ‣ virtualenv ‣ testes ‣ benchmarks como começar

    Saturday, October 5, 13

  52. ‣ bugs.pypy.org ‣ https://bitbucket.org/pypy/pypy ‣ http://doc.pypy.org ‣ doações (stm, numpy,

    python3) como contribuir Saturday, October 5, 13

  53. obrigado! @andrewsmedina Saturday, October 5, 13