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

NumPyPy, RCOS - February, 2012

Avatar for Alex Gaynor Alex Gaynor
February 17, 2012
Programming
330
1

NumPyPy, RCOS - February, 2012

Avatar for Alex Gaynor

Alex Gaynor

February 17, 2012

More Decks by Alex Gaynor

See All by Alex Gaynor
Quantifying Memory Unsafety and Reactions to It
Avatar for Alex Gaynor alex
0
150
Learning from Failure: Post-mortems
Avatar for Alex Gaynor alex
2
350
The cobbler's children have no shoes, or building better tools for ourselves
Avatar for Alex Gaynor alex
1
300
Techniques for Debugging Hard Problems
Avatar for Alex Gaynor alex
1
650
Building Communities with Code Review
Avatar for Alex Gaynor alex
4
340
Documenting Domain Specific Knowledge
Avatar for Alex Gaynor alex
1
440
Pickles are for Delis, not for Software
Avatar for Alex Gaynor alex
0
550
Code Review in Open Source Software
Avatar for Alex Gaynor alex
4
820
Why Ruby isn't slow
Avatar for Alex Gaynor alex
10
3.9k

Other Decks in Programming

See All in Programming
【やさしく解説 設計編・中級 #1】一つの車に、運転手は一人　～ある倉庫システムの事例から～
Avatar for HideyukiKitao panda728
PRO
0
180
分散システム、なんですぐ死んでしまうん？耐障害性を高めたいあなたのためのレジリエンスパターン入門
Avatar for Mitsuhiro Shibuya mshibuya
7
6.5k
ルールを書いて終わらせないハーネスエンジニアリング
Avatar for Yuji Yamaguchi yug1224
3
1.6k
初めてのKubernetes 本番運用でハマった話
Avatar for Kobujee_53 oku053
0
130
壊れたパーサから始める関数型設計と構成的なパーサ #fp_matsuri
Avatar for ライガー raiga0310
2
360
型も通る、synthも通る、それでも危ない 〜AIのCDKの権限とコストを機械で検証する〜 / It Passes Type Checks, It Passes Synth Checks, but It’s Still Risky — Automatically Verifying Permissions and Costs in AI’s CDK —
Avatar for shiro seike seike460
PRO
1
380
Generative UI & AI-Assistants for Your Angular Solutions
Avatar for Manfred Steyer manfredsteyer
PRO
1
200
フィードバックで育てるAI開発
Avatar for Kota Minato kotaminato
1
120
20260623_Loop Engineeringで自分の分身の問い合わせBotを作る
Avatar for ryugen04 ryugen04
0
230
Terraform標準の組織で AWS CDKをどう使うか
Avatar for mu7889yoon / Yuta Nakamura mu7889yoon
1
310
1年で人数1.5倍、PR数5.5倍増。 品質とアウトカムはどうなったか、 何が効いたか
Avatar for ike ike002jp
0
140
ランチタイムLT会3周年！ランチタイムLT会を3年間続けられたお話
Avatar for y-ohgi y0hgi
1
150

Featured

See All Featured
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
Avatar for Marco Roth marcoroth
2
350
Learning to Love Humans: Emotional Interface Design
Avatar for Aarron Walter aarron
275
41k
How to Ace a Technical Interview
Avatar for Jacob Kaplan-Moss jacobian
281
24k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
Avatar for Mike Taylor tmiket
0
390
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
Avatar for Rebecca Miller-Webster rmw
35
3.7k
Exploring anti-patterns in Rails
Avatar for Elle Meredith aemeredith
3
450
GraphQLとの向き合い方2022年版
Avatar for Yosuke Kurami quramy
50
15k
VelocityConf: Rendering Performance Case Studies
Avatar for Addy Osmani addyosmani
333
25k
The Hidden Cost of Media on the Web [PixelPalooza 2025]
Avatar for Tammy Everts tammyeverts
2
360
The Web Performance Landscape in 2024 [PerfNow 2024]
Avatar for Tammy Everts tammyeverts
12
1.2k
How to audit for AI Accessibility on your Front & Back End
Avatar for davetheseo davetheseo
0
470
Ten Tips & Tricks for a 🌱 transition
Avatar for Manu Carrasco Molina stuffmc
0
150

Transcript

  1. Hi.

  2. NumPy PyPy NumPyPy Fortran

  3. A tale of two Pythons

  4. First, there was CPython. And it was OK.

  5. And then there was PyPy. And it was pretty good.

  6. And scientists thought it was pretty good. But there was

    also NumPy

  7. And they thought it was swell. So the developers crafted

    NumPyPy.

  8. Wat? But there was also Fortran.

  9. More than programmers. Scientists like Fortran.

  10. And that brings us to this semester.

  11. ctypes

  12. MORE FORTRAN

  13. None

  14. >>> import numpypy >>> class X(numpypy.ndarray): ... pass ... >>>

    numpypy.ndarray(10) array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) >>> X(10) array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) >>> type(X(10)) <type 'numpypy.ndarray'>

  15. הבר הדות Danke schön Muchas Gracias Questions? Thank you!