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
79
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
190
Ferrari Driven Development: superfast Ruby with Rubex
v0dro
0
1.8k
Ruby Kaigi 2017 - C how to supercharge your Ruby with Rubex
v0dro
1
400
Deccan Ruby Conf 2017 Rubex intro
v0dro
0
81
Rubex: A new way of writing C extensions for CRuby
v0dro
1
430
Scientific Computing in Ruby at Ruby World Conference 2016
v0dro
0
110
Scientific Computing in Ruby at Ruby World Conference 2016.
v0dro
1
200
Data Analysis in RUby with daru
v0dro
3
3.4k
Introduction benchmark-plot at PRUG
v0dro
0
81
Other Decks in Science
See All in Science
理論計算機科学における 数学の応用: 擬似ランダムネス
nobushimi
1
400
Planted Clique Conjectures are Equivalent
nobushimi
0
110
butterfly_effect/butterfly_effect_in-house
florets1
1
140
化学におけるAI・シミュレーション活用のトレンドと 汎用原子レベルシミュレーター: Matlantisを使った素材開発
matlantis
0
430
MoveItを使った産業用ロボット向け動作作成方法の紹介 / Introduction to creating motion for industrial robots using MoveIt
ry0_ka
0
300
最適化超入門
tkm2261
14
3.5k
Analysis-Ready Cloud-Optimized Data for your community and the entire world with Pangeo-Forge
jbusecke
0
130
Trend Classification of InSAR Displacement Time Series Using SAE–CNN
satai
2
130
Pericarditis Comic
camkdraws
0
1.5k
04_石井クンツ昌子_お茶の水女子大学理事_副学長_D_I社会実現へ向けて.pdf
sip3ristex
0
130
ガウス過程回帰とベイズ最適化
nearme_tech
PRO
1
180
創薬における機械学習技術について
kanojikajino
16
4.9k
Featured
See All Featured
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
33
2.8k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
GraphQLの誤解/rethinking-graphql
sonatard
68
10k
Fashionably flexible responsive web design (full day workshop)
malarkey
406
66k
Docker and Python
trallard
44
3.3k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
114
50k
StorybookのUI Testing Handbookを読んだ
zakiyama
28
5.5k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
47
5.2k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.1k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.4k
A Philosophy of Restraint
colly
203
16k
Fantastic passwords and where to find them - at NoRuKo
philnash
51
3k
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?