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![require 'nmatrix' n = NMatrix.new( [2,2], [1,2,3,4], dtype: :float32, stype: :dense ) n[0,1] # => 2.0](https://image.slidesharecdn.com/srijantalk-160630120551/75/Webinar-Scientific-Computation-and-Data-Visualization-with-Ruby-11-2048.jpg)
![require 'gnuplotrb' plot = GnuplotRB::Plot.new( [ [1,2.5,1.5,4], with: 'linespoints' ] )](https://image.slidesharecdn.com/srijantalk-160630120551/75/Webinar-Scientific-Computation-and-Data-Visualization-with-Ruby-24-2048.jpg)
![require 'gnuplotrb' plot = GnuplotRB::Plot.new( [ [1,2.5,1.5,4], with: 'linespoints' ], [ [2,3,4.3,3], with: 'lines' ] )](https://image.slidesharecdn.com/srijantalk-160630120551/75/Webinar-Scientific-Computation-and-Data-Visualization-with-Ruby-26-2048.jpg)
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[Webinar] Scientific Computation and Data Visualization with Ruby
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.
[Webinar] Scientific Computation and Data Visualization with Ruby
- 1. Scientific Computation and DataVisualization in Ruby
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- 6. Browser based RubyREPL for interactive computing.
- 7. Runs in your browser Inputcell – accepts Ruby code Output cell – can render HTML/CSS/JS
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- 10. n-dimensional array object. InterfaceRuby 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 Densematrix. List Sparse matrix type storing data as a linked list. Yale Sparse type storing data in the 'New Yale' format.
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- 16. nmatrix is comingto jruby!
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- 18. interactive plotting tool forRubyists.
- 19. interactive HTML and JavaScriptplots that can be displayed in your browser.
- 21. Mapnya Nyaplot3D Bionya Map visualizations withinbuilt country charts. Three Dimensional interactive plots. Biology plots for visualizing relationships of genes.
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- 23. Ruby wrapper overGNU 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' ] )
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- 32. library for analysis, cleaning,manipulation and visualization of data.
- 33. Read/write many datasources Ephemeral statistics functions Works well with 'wild' data Data indexing
- 34. Acts as gluebetween other SciRuby libraries.
- 35. Daru::Vector Heterogenous Array thatcan be indexed on any Ruby object. Name Label(0) Label(1) Label(2) ... Label(n-1)
- 36. Daru::DataFrame 2D spreadsheet likedata 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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