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
Webinar - Scientific Computing and Data Visuali...
Search
Sameer Deshmukh
June 29, 2016
Science
0
95
Webinar - Scientific Computing and Data Visualization
Webinar for Srijan Technologies on scientific computing and data visualization in Ruby.
Sameer Deshmukh
June 29, 2016
Tweet
Share
More Decks by Sameer Deshmukh
See All by Sameer Deshmukh
XND and rubyplot - typed arrays and visualization in Ruby
v0dro
0
210
Ferrari Driven Development: superfast Ruby with Rubex
v0dro
0
2k
Ruby Kaigi 2017 - C how to supercharge your Ruby with Rubex
v0dro
1
430
Deccan Ruby Conf 2017 Rubex intro
v0dro
0
91
Rubex: A new way of writing C extensions for CRuby
v0dro
1
500
Scientific Computing in Ruby at Ruby World Conference 2016
v0dro
0
120
Scientific Computing in Ruby at Ruby World Conference 2016.
v0dro
1
220
Data Analysis in RUby with daru
v0dro
3
3.5k
Introduction benchmark-plot at PRUG
v0dro
0
110
Other Decks in Science
See All in Science
機械学習 - K-means & 階層的クラスタリング
trycycle
PRO
0
1.1k
データマイニング - グラフデータと経路
trycycle
PRO
1
220
生成AIと学ぶPythonデータ分析再入門-Pythonによるクラスタリング・可視化をサクサク実施-
datascientistsociety
PRO
4
1.8k
baseballrによるMLBデータの抽出と階層ベイズモデルによる打率の推定 / TokyoR118
dropout009
2
580
02_西村訓弘_プログラムディレクター_人口減少を機にひらく未来社会.pdf
sip3ristex
0
630
06_浅井雄一郎_株式会社浅井農園代表取締役社長_紹介資料.pdf
sip3ristex
0
650
データから見る勝敗の法則 / The principle of victory discovered by science (open lecture in NSSU)
konakalab
1
180
ウェブ・ソーシャルメディア論文読み会 第25回: Differences in misinformation sharing can lead to politically asymmetric sanctions (Nature, 2024)
hkefka385
0
140
データマイニング - コミュニティ発見
trycycle
PRO
0
160
モンテカルロDCF法による事業価値の算出(モンテカルロ法とベイズモデリング) / Business Valuation Using Monte Carlo DCF Method (Monte Carlo Simulation and Bayesian Modeling)
ikuma_w
0
280
Ignite の1年間の軌跡
ktombow
0
160
機械学習 - K近傍法 & 機械学習のお作法
trycycle
PRO
0
1.2k
Featured
See All Featured
Embracing the Ebb and Flow
colly
88
4.8k
Speed Design
sergeychernyshev
32
1.1k
How to Ace a Technical Interview
jacobian
280
24k
Gamification - CAS2011
davidbonilla
81
5.5k
Visualization
eitanlees
148
16k
GitHub's CSS Performance
jonrohan
1032
460k
Site-Speed That Sticks
csswizardry
11
880
Statistics for Hackers
jakevdp
799
220k
Build The Right Thing And Hit Your Dates
maggiecrowley
37
2.9k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
358
30k
RailsConf 2023
tenderlove
30
1.2k
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
Transcript
Scientific Computation and Data Visualization in Ruby @srijan #SrijanWW
Sameer Deshmukh github.com/v0dro @v0dro @srijan #SrijanWW
Ruby Science Foundation www.sciruby.com @sciruby @sciruby @srijan #SrijanWW
@srijan #SrijanWW
iruby notebook @srijan #SrijanWW
Browser based Ruby REPL for interactive computing. @srijan #SrijanWW
Runs in your browser Input cell – accepts Ruby code
Output cell – can render HTML/CSS/JS @srijan #SrijanWW
@srijan #SrijanWW
nmatrix @srijan #SrijanWW
ndimensional array object. Interface Ruby with high speed C libraries.
@srijan #SrijanWW
require 'nmatrix' n = NMatrix.new( [2,2], [1,2,3,4], dtype: :float32, stype:
:dense ) n[0,1] # => 2.0 @srijan #SrijanWW
Data Types :int8 :float32 :int16 :float64 :int32 :complex64 :int64 :complex128
@srijan #SrijanWW
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. @srijan #SrijanWW
NMatrix C API @srijan #SrijanWW
nmatrix nmatrix atlas nmatrix lapacke nmatrix fftw gsl @srijan #SrijanWW
nmatrix is coming to jruby! @srijan #SrijanWW
nyaplot @srijan #SrijanWW
interactive plotting tool for Rubyists. @srijan #SrijanWW
interactive HTML and JavaScript plots that can be displayed in
your browser. @srijan #SrijanWW
@srijan #SrijanWW
Mapnya Nyaplot3D Bionya Map visualizations with inbuilt country charts. Three
Dimensional interactive plots. Biology plots for visualizing relationships of genes. @srijan #SrijanWW
gnuplotrb @srijan #SrijanWW
Ruby wrapper over GNU Plot. Convieniently exposes all GNU Plot
functions through Ruby. @srijan #SrijanWW
require 'gnuplotrb' plot = GnuplotRB::Plot.new( [ [1,2.5,1.5,4], with: 'linespoints' ]
) @srijan #SrijanWW
@srijan #SrijanWW
require 'gnuplotrb' plot = GnuplotRB::Plot.new( [ [1,2.5,1.5,4], with: 'linespoints' ],
[ [2,3,4.3,3], with: 'lines' ] ) @srijan #SrijanWW
@srijan #SrijanWW
statsample @srijan #SrijanWW
@srijan #SrijanWW library for statistical analysis and modelling.
@srijan #SrijanWW Extensions for Generalized Linear Models and TimeSeries apart
from statistical tests and models.
daru (Data Analysis in RUby) @srijan #SrijanWW
daru == (Hindi) ददार @srijan #SrijanWW
library for analysis, cleaning, manipulation and visualization of data. @srijan
#SrijanWW
Read/write many data sources Ephemeral statistics functions Works well with
'wild' data Data indexing @srijan #SrijanWW
Acts as glue between other SciRuby libraries. @srijan #SrijanWW
Daru::Vector Heterogenous Array that can be indexed on any Ruby
object. Name Label(0) Label(1) Label(2) ... Label(n-1) @srijan #SrijanWW
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) .... @srijan #SrijanWW
Thank You Twitter: @v0dro GitHub: @v0dro @srijan #SrijanWW
Any questions?