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
Python and Julia. Why do we need another langua...
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
PyGotham 2014
August 17, 2014
Programming
390
1
Share
Python and Julia. Why do we need another language? - Dwight J. Browne
Integration of Ipython notebook and Julia
PyGotham 2014
August 17, 2014
More Decks by PyGotham 2014
See All by PyGotham 2014
Service Oriented Flask - Randall Degges
pygotham2014
2
220
What Problem Are You Trying to Solve, Anyway? - Alfred Lee
pygotham2014
0
130
Decorators 101: A Gentle Introduction to Functional Programming - Jillian Munson
pygotham2014
3
310
Pretty Pictures Please - Hannah Aizenmann
pygotham2014
0
180
Weather of The Century - J. Randall Hunt
pygotham2014
0
110
Setting up your Python development environment in IPython - Daniel Kronovet
pygotham2014
0
93
Failing With Grace - Sean O'Connor
pygotham2014
0
110
Caching up and down the stack in Django - James Meickle
pygotham2014
1
99
PyParallel - Trent Nelson
pygotham2014
0
89
Other Decks in Programming
See All in Programming
2026年のソフトウェア開発を考える(2026/05版) / Software Engineering Scrum Fest Niigata 2026 Edition
twada
PRO
22
11k
いつか誰かが、と思っていた フロントエンド刷新5年間の実践知
kiichisugihara
1
260
PicoRuby for IoT: Connecting to the Cloud with MQTT
yuuu
2
770
Making the RBS Parser Faster
soutaro
0
670
継続的な負荷検証を目指して
pyama86
2
900
WebAssembly を読み込むベストプラクティス 2026年春版 / Best Practices for Loading WebAssembly (Spring 2026)
petamoriken
5
1.1k
Programming with a DJ Controller — not vibe coding
m_seki
3
800
Kubernetesを使わない環境にもCloud Nativeなデプロイを実現する / Enabling Cloud Native deployments without the complexity of Kubernetes
linyows
3
330
AIを導入する前にやるべきこと
negima
2
340
AIベース静的検査器の偽陽性率を抑える工夫3選
orgachem
PRO
4
450
なぜあなたのコードには「コシ」がないのか?〜AI時代に問う、最後まで美味しい設計と戦略〜 #phpconkagawa / phpconkagawa2026
shogogg
0
150
ソフトウェア設計の結合バランス #phperkaigi
kajitack
0
490
Featured
See All Featured
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.1k
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
190
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
Bootstrapping a Software Product
garrettdimon
PRO
307
120k
Scaling GitHub
holman
464
140k
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
780
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
61
43k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
190
Done Done
chrislema
186
16k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.7k
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
790
Transcript
Python and Julia Why do we need another language?
Dwight J. Browne PyGotham 2014 Twi>er: @dwightb2 GitHub: h>ps://github.com/dbrowne/PresentaGons
History • Slow computers required efficient languages •
FORTRAN, C • Required efficient and diligent coding • strncpy(tooSmall,tooBig,sizeof(tooBig) = The olden days: The Honeymooners -‐ Oprah
More History • Compressed delivery Gme • Enterprise
apps bloat • C#, Java, Perl • *nix or Win • Computers kept ge_ng faster Seinfeld, Friends
A Brief Diversion
The Dark Ages Reality TV • GOOD
ENOUGH
Some Problems • Big applicaGons • Complex dependencies
• Cut and paste code • Technical debt 500 Channels and Nothing to Watch
The Big Problem The Notorious E.C.L.E • E.C.L.E.
-‐ Edit Compile Link Execute • More data. Finite Gme • Processing speeds are increasing slowly • Need a be>er way
The Need For Speed Fast and Furious •
High performance = C or FORTRAN • Using BLAS, LAPACK = FORTRAN • SGll hindered by E.C.L.E. • A use case for a dynamic language
Python The Sopranos and Breaking Bad •
MulG Paradigm • REPL and IPython save person years • Less TIMTOWDI = Less wasted Gme • Slowness will be forgiven for fast delivery • But not always
Julia Julia? Where did this come from?
• Fast C like performance • Incredibly young language = Immature library base • C interoperability = Python interoperability • MulGple dispatch • Focus on methods not methods of classes
But How Fast is It? Professional driver on closed
course
It’s Really That Fast? Your mileage may vary
What is this Witchcrah? How does it work?
• Python PyObject: • object.h, methodobject.h • descrobject.h • Julia PyObject: • PyCall.jl, pytype.jl • PyPlot.jl for Matplotlib • ccall to call external C libraries
Julia PyObject
IPython and Julia Yes. You can have your cake
and eat it too! • Ijulia/src/msg.jl • IPython/kernel/zmqIPython/kernel/zmq/session.py
That’s All Folks!
Is that it? DemonstraGon