Interfacing Python with Julia, Haskell and more, for computational math

Objective

The idea of this talk is to take participants through a walk-through of mixing Python with languages such as Julia, Haskell, Octave, R, F# and more, and to showcase this sort of interaction between languages as a really powerful tool for computational math and stats.

Description

1. A short walkthrough of math libraries in Python such as numpy, scipy, as well as CAS systems like sympy and sage.
2. Introduce Octave, and walk through oct2py, a module for calling Octave code from Python.
3. Talk about R and rpy2, a module for R, similar to oct2py.
4. Integrate Octave, R and Python in IPython notebooks.
5. Move on to IPython kernels, and the ease of porting languages to the IPython architecture.
6. A short demo, featuring IPython notebooks running Julia, Haskell, F#, Scala and Go, among others.

Requirements

A laptop. We'll use hosted IPython notebooks on the cloud, so nothing needs to be installed. Tablets work too, although it might be a little complicated.

Speaker bio

I'm Rudraksh, and I specialize in computational math. I've got varied experience in using math and data science for journalism, events management as well as ed-tech and social media startups. Currently, I'm working on a startup called MathHarbor, where we're building a cloud platform and hub for computational math and stats using open-source languages and toolsets. You can check it out here: http://mathharbor.com

Also, I've given a talk on tech and data journalism, at a Startup Saturday event in Delhi back in 2013. Check it out here: https://www.youtube.com/watch?v=peF47AwmLG4

Slides

http://slides.com/rudimk/python-julia-haskell-more

Links

• http://nbviewer.ipython.org/url/jdj.mit.edu/~stevenj/IJulia%20Preview.ipynb
• http://nbviewer.ipython.org/github/gibiansky/IHaskell/blob/master/demo/IHaskell.ipynb
• http://nbviewer.ipython.org/github/ellisonbg/talk-pydata-nyc2013/blob/master/Multi-lingual.ipynb
• https://github.com/rudimk
• https://twitter.com/rudimk
• http://mathharbor.com/#team
• https://udemy.com/u/rudimk

Comments

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  [-][+] chandra bose 263 days ago

  my most awaited!!! this session is really essential for computer scientists..

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    [-][+] Rudi MK 257 days ago

    Thanks a bunch, Chandra! Love this stuff and I'd love to share the little things I've been working on, in this area. Hope to catch up with you there!

    [reply] [link] [parent]

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