Awesome

GSL interface for Ruby with Numo::NArray

GitHub | RubyGems

• GSL - GNU Scientific Library - version >=2.0 and <=2.3.
• Pre-alpha version under development.
• Call for help! - writing tests and examples.

Numo::GSL API document

Implemented Modules:

• Numo::GSL -- Mathematical Functions
  • (Modules/Classes below are defined in Numo::GSL module, e.g., Const => Numo::GSL::Const)
• Const -- Constants
• Poly -- Polynomials
• Sf -- Special Functions
• Rng -- Random Number Generation
  • Ran -- Random Number Distributions
  • Pdf -- Probability Density Functions
  • Cdf -- Cumulative Distribution Functions
• Stats -- Statistics
  • Rstat -- Running Statistics
• Histogram -- Histograms
  • Histogram2D -- 2D Histograms
• Spline -- Interpolation
  • Spline2D -- 2D Interpolation
• Wavelet -- Wavelet Transforms
  • Wavelet2D -- 2D Wavelet Transforms
• Fit -- Linear regression
  • Multifit -- Multi-parameter regression
• SpMatrix -- Sparse Matrices
  • SpBlas -- Sparse BLAS
  • SpLinalg -- Sparse Linear Algebra

More modules will be implemented.

Naming convention

    [C] GSL function/constant => [Ruby] Numo::GSL function/constant
* Constants
    M_2_PI                    => Numo::GSL::M_2_PI
    GSL_CONST_MKSA_ANGSTROM   => Numo::GSL::Const::MKSA_ANGSTROM
* Module function
    gsl_acosh()               => Numo::GSL.acosh()
    gsl_sf_bessel_J0()        => Numo::GSL::Sf.bessel_J0()
* Class method
    gsl_rng_alloc()           => Numo::GSL::Rng.new
    gsl_rng_get()             => Numo::GSL::Rng#get
* Subclass
    gsl_rng_type *gsl_rng_mt19937; => Numo::GSL::Rng::Mt19937 < Numo::GSL::Rng
* Exception
    gsl_ran_gaussian_pdf()    => Numo::GSL::Pdf.gaussian
    gsl_ran_gaussian()        => Numo::GSL::Rng#gaussian (Rng includes Numo::GSL::Ran)

Installation

• Install Numo::NArray

• Install GSL - GNU Scientific Library version between 2.0 and 2.3.

• Install Numo::GSL

$ gem install numo-gsl

Quick start

If you're familiar with Docker, the following commands should work in most cases:

git clone https://github.com/ruby-numo/numo-gsl
cd gsl
docker build -t numogsl .
docker run -d -p 8888:8888 numogsl start-notebook.sh --NotebookApp.token=''

and open a web browser to http://localhost:8888 .

Our Docker image is based on Minimal Jupyter Notebook Stack. See https://github.com/jupyter/docker-stacks/tree/master/minimal-notebook for more details on the Docker command options.