Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
pypy - o interpretador mais rapido do velho oeste
Search
Andrews Medina
October 05, 2013
Technology
0
400
pypy - o interpretador mais rapido do velho oeste
Palestra sobre pypy apresentada na pythonbrasil[9].
Andrews Medina
October 05, 2013
Tweet
Share
More Decks by Andrews Medina
See All by Andrews Medina
Organizando dados juŕidicos em grafos
andrewsmedina
0
100
Clean Code - princípios e práticas para um código sustentável
andrewsmedina
0
660
Pytfalls
andrewsmedina
1
200
tsuru para quem sabe tsuru
andrewsmedina
0
78
globo.com s2 python
andrewsmedina
5
390
tsuru and docker
andrewsmedina
6
3.6k
fazendo deploys de forma simples e divertida com tsuru
andrewsmedina
3
140
let's go
andrewsmedina
2
310
TDD for Dummies
andrewsmedina
3
380
Other Decks in Technology
See All in Technology
Kubernetes self-healing of your workload
hwchiu
0
350
データ戦略部門 紹介資料
sansan33
PRO
1
3.8k
JSConf JPのwebsiteをGatsbyからNext.jsに移行した話 - Next.jsの多言語静的サイトと課題
leko
2
180
Bill One 開発エンジニア 紹介資料
sansan33
PRO
4
14k
エンタメとAIのための3Dパラレルワールド構築(GPU UNITE 2025 特別講演)
pfn
PRO
0
630
だいたい分かった気になる 『SREの知識地図』 / introduction-to-sre-knowledge-map-book
katsuhisa91
PRO
3
1.2k
OpenTelemetry が拡げる Gemini CLI の可観測性
phaya72
2
1.7k
Node.js 2025: What's new and what's next
ruyadorno
0
980
現場データから見える、開発生産性の変化コード生成AI導入・運用のリアル〜 / Changes in Development Productivity and Operational Challenges Following the Introduction of Code Generation AI
nttcom
1
430
アウトプットから始めるOSSコントリビューション 〜eslint-plugin-vueの場合〜 #vuefes
bengo4com
3
160
FinOps について (ちょっと) 本気出して考えてみた
skmkzyk
0
190
名刺メーカーDevグループ 紹介資料
sansan33
PRO
0
940
Featured
See All Featured
How to train your dragon (web standard)
notwaldorf
97
6.3k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
37
2.6k
The Language of Interfaces
destraynor
162
25k
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
16k
Build The Right Thing And Hit Your Dates
maggiecrowley
37
2.9k
Speed Design
sergeychernyshev
32
1.2k
Agile that works and the tools we love
rasmusluckow
331
21k
What’s in a name? Adding method to the madness
productmarketing
PRO
24
3.7k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
22k
Reflections from 52 weeks, 52 projects
jeffersonlam
353
21k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
285
14k
Transcript
globo .com pypy o interpretador mais rápido do velho oeste
Saturday, October 5, 13
Saturday, October 5, 13
‣ djangobrasil ‣ globo.com desde 2008 ‣ splinter ‣ tsuru
@andrewsmedina Saturday, October 5, 13
‣ sabe o que é? ‣ sabe o que é
rpython? ‣ já usou pypy? ‣ já usou rpython? pypy? Saturday, October 5, 13
‣ rpython ‣ pypy ‣ mitos ‣ como contribuir cronograma
Saturday, October 5, 13
rpython Saturday, October 5, 13
‣ quem já teve vontade de escrever um compilador/ interpretador?
‣ que já implementou um? ? Saturday, October 5, 13
‣ python subset ‣ traduz rpython para c ‣ ferramenta
para escrever interpretadores rpython Saturday, October 5, 13
‣ 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
‣ pypy ‣ topaz ‣ lang-js ‣ lang-scheme ‣ lang-smaltalk
‣ pygirl (gameboy) ‣ lang-io ‣ hippy interpretadores Saturday, October 5, 13
pypy Saturday, October 5, 13
‣ performance ‣ eficiência ‣ compatibilidade com cPython pypy Saturday,
October 5, 13
performance Saturday, October 5, 13
‣ python 2.7.3 ‣ algumas coisas em rpython compatibilidade Saturday,
October 5, 13
‣ efeito colateral por escrever python em python interpretador level
vs app level Saturday, October 5, 13
app level Saturday, October 5, 13
interpretador level Saturday, October 5, 13
compatibilidade Saturday, October 5, 13
‣ navite code > bytecode ‣ compilação do bytecode ‣
“esquentar o interpretador” jit Saturday, October 5, 13
def f2(x, y): x = hint(x, promote=True) z = x
* 2 + 1 return z + y jit Saturday, October 5, 13
guard(x == 4) v1 = x * 2 z =
v1 + 1 v2 = z + y return(v2) jit Saturday, October 5, 13
guard(x == 4) v2 = 9 + y return(v2) jit
Saturday, October 5, 13
‣ cPython: reference counting ‣ pypy: minimark garbage collector Saturday,
October 5, 13
class B(object): def __del__(self): print "oie" garbage collector Saturday, October
5, 13
>>>> b = B() >>>> b = 1 >>>> garbage
collector - pypy Saturday, October 5, 13
>>> b = B() >>> b = 1 oie garbage
collector - cPython Saturday, October 5, 13
b = B() a = B() b.x = a a.x
= b garbage collector Saturday, October 5, 13
‣ executar c no python ‣ pip install cffi cffi
Saturday, October 5, 13
cffi Saturday, October 5, 13
‣ concorrencia ‣ inspirado pelo http://www.stackless.com/ ‣ http://greenlet.readthedocs.org/en/latest/ stackless Saturday,
October 5, 13
‣ paralelismo ‣ baseado em banco de dados stm Saturday,
October 5, 13
‣ escrito em rpython ‣ já funciona :) ‣ http://buildbot.pypy.org/numpy-status/latest.html
numpy + pypy Saturday, October 5, 13
>>>> import numpypy >>>> numpypy.array([1,2,3]) array([1, 2, 3]) >>>> numpy
+ pypy Saturday, October 5, 13
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
mitos Saturday, October 5, 13
integração com c Saturday, October 5, 13
‣ funciona com ctypes (mysqldb) ‣ cffi integração com c
Saturday, October 5, 13
‣ funciona com ctypes (mysqldb) ‣ cffi integração com c
Saturday, October 5, 13
python3 Saturday, October 5, 13
python3 Saturday, October 5, 13
python3 Saturday, October 5, 13
6x mais rápido que cPython Saturday, October 5, 13
6x mais rápido que cPython Saturday, October 5, 13
6x mais rápido que cPython Saturday, October 5, 13
6x mais rápido que cPython Saturday, October 5, 13
compilar pypy demora Saturday, October 5, 13
compilar pypy demora Saturday, October 5, 13
compilar pypy demora Saturday, October 5, 13
compilar pypy demora Saturday, October 5, 13
compilar pypy demora Saturday, October 5, 13
‣ pypy.org ‣ virtualenv ‣ testes ‣ benchmarks como começar
Saturday, October 5, 13
‣ bugs.pypy.org ‣ https://bitbucket.org/pypy/pypy ‣ http://doc.pypy.org ‣ doações (stm, numpy,
python3) como contribuir Saturday, October 5, 13
obrigado! @andrewsmedina Saturday, October 5, 13