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namaste
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India must master Western science and
yet preserve its Culture and Heritage.
What India Dreams
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City of Pune.
Population: 6 million.
Oxford of the East.
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Sameer Deshmukh
github.com/v0dro
@v0dro
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Dr. Gopal
Deshmukh
Sameer
Desmukh
Dr. Hemchandra
Deshmukh
Dr. Satish
Deshmukh
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www.soundcloud.com/catkamikazee
Sameer
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Me
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Pune
Ruby Users
Group
www.punerb.org
@punerb
@punerb
@deccanrubyconf
www.deccanrubyconf.org
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Ruby
Science
Foundation
www.sciruby.com
@sciruby
@sciruby
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Data Analysis
in Ruby
with daru
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daru
(Data Analysis in RUby)
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daru
==
(Hindi)
ददार
sake
alcohol
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library for
analysis, cleaning, manipulation and
visualization
of data.
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Read/write many data sources
Ephemeral statistics functions
Works well with 'wild' data
Advanced Data indexing
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Daru::Vector
Heterogenous Array that can be indexed on
any Ruby object.
Name
Label(0)
Label(1)
Label(2)
...
Label(n-1)
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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)
....
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Data visualization with
Nyaplot, GNUplotrb and Gruff.
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iruby notebook
gem install iruby
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Browser based Ruby REPL
for interactive computing.
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Runs in your
browser
Input cell – accepts
Ruby code
Output cell – can
render HTML/CSS/JS
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60% of a data analyst's time is spent on
cleaning data.
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Acts as glue between other
SciRuby libraries
●
statsample for Statistics.
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mixed_models for Mixed Models.
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darutd for Treasure Data.
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nmatrix for efficient data storage.
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statsampleglm
gem install statsampleglm
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Logistic, probit, poisson, normal
regression methods in Ruby.
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Provides an Rlike formula language
for specifying regressions.
“Y ~ a+a:b+c+c:d”
Y = ß0
+ a*ß1
+ a*b*ß2
+ c*ß3
+ c*d*ß4
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Use Case:
Kaggle Animal Shelter Data
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OMG I've had too
much daru!!
STOP! STOP!
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New Ideas for better Ruby
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“Any sufficiently advanced
technology is indistinguishable
from magic.”
Arthur C. Clarke
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Writing C extensions
●
FFI gem.
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Rice.
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SWIG.
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Writing C bindings manually.
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Rubyist!
Write me a C extension!
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def factorial n
n > 1 ? n*factorial(n-1) : 1
end
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unsigned long long int
calc_factorial(unsigned long long int n)
{
return (n > 1 ? n*calc_factorial(n-1) : 1);
}
static VALUE
cfactorial(VALUE self, VALUE n)
{
return ULL2FIX(
calc_factorial(NUM2ULL(n)));
}
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void Init_factorial()
{
VALUE cFact = rb_define_class("Fact",
rb_cObject);
rb_define_method(cFact, "factorial",
cfactorial, 1);
}
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a = Fact.new
a.factorial(8000)
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Big Problems
●
Difficult and irritating to write.
●
Time consuming to debug.
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Tough to trace memory leaks.
●
Change mindset from high level to low
level language.
●
Need to care about small things.™*
*Matz – Keynote at Red Dot Ruby Conf 2016, Singapore.
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Rubex
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Rubex is a Crystalinspired superset of
Ruby that compiles to C.
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class Fact
def factorial(unsigned long long int n)
n > 1 ? n*factorial(n-1) : 1
end
end
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# Create a C static array and return a Ruby Array
def adder(n)
a = StaticArray(i32, n)
i32 i = 0
i32 sum = 0
a.each(n) { a[i] = i*5 }
for 0 <= i < n do
sum += a[i]
end
sum
end
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https://github.com/v0dro/rubex
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Scientific Computing on
JRuby
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NMatrix
C/C++ core
CRuby
interpreter
Numo::NArray
C core
CRuby
interpreter
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JRuby backend for the NMatrix
Ruby API –
Sci. Computing on JVM.
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Allows interfacing JRuby libraries
with jBLAS for performance.
Uses Apache Commons Math
library for storage and operations on
internal Java arrays.
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https://github.com/prasunanand/
nmatrix/tree/jruby_port
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Symbolic Computation
in Ruby
with symengine.rb
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(x – y) * (x ** y / z)
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require 'symengine'
x = SymEngine::Symbol.new("x")
y = SymEngine::Symbol.new("y")
z = SymEngine::Symbol.new("z")
f = (x – y) * (x ** y / z)
f.expand.to_s
# x**(1 + y)/z – x**y*y/z
f == - (x**y*y/z) + (x**y*x/z)
# true
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https://github.com/symengine/
symengine.rb
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Ruby in Space
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NASA SPICE
Ruby wrapper spice_rub
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require 'spice_rub'
k_pool = SpiceRub::KernelPool.instance
k_pool.load_folder("spec/data/kernels")
epoch = SpiceRub::Time.now
moon = SpiceRub::Body.new(:moon)
earth = SpiceRub::Body.now(:earth)
earth.position_at(epoch)
moon.distance_from(:earth, epoch)
# 395791.1464913574 (Km)
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https://github.com/gau27/spice_rub
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Cool SciRuby Stickers
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Acknowledgements
●
@agisga and @lokeshh for statistics with daru
and statsampleglm.
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@gau27 for spice_rub.
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@prasunanand for NMatrix on JRuby.
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@rajithv for symengine.rb.
●
@gnilrets, @mrkn, @zverok and all the other
contributors to daru.
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Thank You
Ruby Kaigi
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Any questions?