The document discusses scientific computation and data visualization using Ruby, highlighting tools such as the IRuby notebook, NMatrix for handling n-dimensional arrays, and Nyaplot for interactive plotting. It also mentions GnuplotRB for graphing functions and Daru for data analysis and manipulation. These tools collectively facilitate interactive computing and data visualization effectively in the Ruby programming environment.

1. Scientific Computation
and Data Visualization
in Ruby

2. Sameer Deshmukh
github.com/v0dro
@v0dro

3. Ruby
Science
Foundation
www.sciruby.com
@sciruby
@sciruby

5. iruby notebook

6. Browser based Ruby REPL
for interactive computing.

7. Runs in your
browser
Input cell – accepts
Ruby code
Output cell – can
render HTML/CSS/JS

9. nmatrix

10. n-dimensional array object.
Interface Ruby with
high speed C libraries.

11. require 'nmatrix'
n = NMatrix.new(
[2,2],
[1,2,3,4],
dtype: :float32,
stype: :dense
)
n[0,1] # => 2.0

12. Data Types
:int8 :float32
:int16 :float64
:int32 :complex64
:int64 :complex128

13. 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.

14. NMatrix C API

15. nmatrix
nmatrix-
atlas
nmatrix-
lapacke
nmatrix-
fftw
gsl

16. nmatrix is coming to jruby!

17. nyaplot

18. interactive plotting
tool for Rubyists.

19. interactive
HTML and JavaScript plots
that can be displayed in your
browser.

21. Mapnya
Nyaplot3D
Bionya
Map visualizations with inbuilt country charts.
Three Dimensional interactive plots.
Biology plots for visualizing relationships of genes.

22. gnuplotrb

23. Ruby wrapper over GNU Plot.
Convieniently exposes all GNU Plot
functions through Ruby.

24. require 'gnuplotrb'
plot = GnuplotRB::Plot.new(
[
[1,2.5,1.5,4],
with: 'linespoints'
]
)

26. require 'gnuplotrb'
plot = GnuplotRB::Plot.new(
[
[1,2.5,1.5,4],
with: 'linespoints'
],
[
[2,3,4.3,3],
with: 'lines'
]
)

28. statsample

30. daru
(Data Analysis in RUby)

31. daru ==
(Hindi)
दा

32. library for
analysis, cleaning, manipulation and
visualization
of data.

33. Read/write many data sources
Ephemeral statistics functions
Works well with 'wild' data
Data indexing

34. Acts as glue between other
SciRuby libraries.

35. Daru::Vector
Heterogenous Array that can be indexed on any
Ruby object.
Name
Label(0)
Label(1)
Label(2)
...
Label(n-1)

36. 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)
....

37. Thank You
Twitter: @v0dro
GitHub: @v0dro

38. Any questions?