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
Scientific Computing in Ruby. RDRC 2016.
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Sameer Deshmukh
June 24, 2016
Programming
750
0
Share
Scientific Computing in Ruby. RDRC 2016.
Talk on Scientific Computing in Ruby at Red Dot Ruby Conf 2016, Singapore.
Sameer Deshmukh
June 24, 2016
More Decks by Sameer Deshmukh
See All by Sameer Deshmukh
XND and rubyplot - typed arrays and visualization in Ruby
v0dro
0
230
Ferrari Driven Development: superfast Ruby with Rubex
v0dro
0
2.2k
Ruby Kaigi 2017 - C how to supercharge your Ruby with Rubex
v0dro
1
460
Deccan Ruby Conf 2017 Rubex intro
v0dro
0
110
Rubex: A new way of writing C extensions for CRuby
v0dro
1
580
Scientific Computing in Ruby at Ruby World Conference 2016
v0dro
0
150
Scientific Computing in Ruby at Ruby World Conference 2016.
v0dro
1
240
Data Analysis in RUby with daru
v0dro
3
3.7k
Introduction benchmark-plot at PRUG
v0dro
0
130
Other Decks in Programming
See All in Programming
自動レビューエンジンの実装と運用 ~レビューのない世界へ~
kurukuru1999
2
230
Skillは並べた。動かなかった。契約で繋いだ。— 65個のSkillから、自走する開発サイクルへ
junholee
0
700
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
220
Migrations : C'est une question d'hygiène !
vinceamstoutz
0
1.1k
Sans tests, vos agents ne sont pas fiables
nabondance
0
150
Modding RubyKaigi for Myself
yui_knk
0
400
Agentic AI & UI: Arcitecture, HITL, Emerging Standards
manfredsteyer
PRO
0
130
TypeSpec で繋ぐ複数プロダクトの型安全
maroon8021
1
210
ReactとSvelteのその先、Ripple-TS / Beyond React and Svelte: Ripple-TS
ssssota
2
650
次世代リンターで探る、tsgo 時代における型認識カスタムルールの現実解
ytakahashii
1
910
TSKaigi2026-静的解析への投資がAI時代のコード品質を支える ── カスタムESLintルールの設計と運用
hayatokudou
5
1k
Spec-Driven Development with AI-Agents: From High-Level Requirements to Working Software
antonarhipov
2
300
Featured
See All Featured
So, you think you're a good person
axbom
PRO
2
2k
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
KATA
mclloyd
PRO
35
15k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
170
Scaling GitHub
holman
464
140k
Navigating Weather and Climate Data
rabernat
0
190
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
1
3.6k
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Product Roadmaps are Hard
iamctodd
PRO
55
12k
The Art of Programming - Codeland 2020
erikaheidi
57
14k
Visualization
eitanlees
151
17k
Building a Modern Day E-commerce SEO Strategy
aleyda
45
9k
Transcript
namaste
Me
Who Am I?
Sameer Deshmukh github.com/v0dro @v0dro
Incredible India
None
None
None
None
City of Pune. Population: 6 million. Oxford of the East.
None
Dr. Gopal Deshmukh Sameer Desmukh Dr. Hemchandra Deshmukh Dr. Satish
Deshmukh
www.soundcloud.com/catkamikazee Sameer
Ruby Science Foundation www.sciruby.com @sciruby @sciruby
None
Scientific Computing In Ruby
iruby notebook
Browser based Ruby REPL for interactive computing.
Runs in your browser Input cell – accepts Ruby code
Output cell – can render HTML/CSS/JS
None
nmatrix
ndimensional array object. Interface Ruby with high speed C libraries.
require 'nmatrix' n = NMatrix.new( [2,2], [1,2,3,4], dtype: :float32, stype:
:dense ) n[0,1] # => 2.0
Data Types :int8 :float32 :int16 :float64 :int32 :complex64 :int64 :complex128
Storage types Dense Dense matrix. List Sparse matrix type storing
data as a linked list. Yale Sparse type storing data in the 'New Yale' format.
NMatrix C API
nmatrix nmatrix atlas nmatrix lapacke nmatrix fftw gsl
nmatrix is coming to jruby!
nyaplot
interactive plotting tool for Rubyists.
interactive HTML and JavaScript plots that can be displayed in
your browser.
None
Mapnya Nyaplot3D Bionya Map visualizations with inbuilt country charts. Three
Dimensional interactive plots. Biology plots for visualizing relationships of genes.
daru (Data Analysis in RUby)
daru == (Hindi) ददार
library for analysis, cleaning, manipulation and visualization of data.
Read/write many data sources Ephemeral statistics functions Works well with
'wild' data Data indexing
Acts as glue between other SciRuby libraries.
Daru::Vector Heterogenous Array that can be indexed on any Ruby
object. Name Label(0) Label(1) Label(2) ... Label(n-1)
Daru::DataFrame 2D spreadsheet like data structure indexed by rows or
columns. Col0 Label(0) Label(1) Label(2) ... Label(n-1) Col1 Col2 Col(n-1) ....
Cool SciRuby Stickers
Thank You Red Dot Ruby Conf
I will answer your questions in my own childish ways.