R & D Summary

    COPADS - Collection of Python Algorithms and Data Structures

The main aim of COPADS is to develop a compilation of of Python data structures and its algorithms, making it almost a purely developmental project. Personally, I look at this as a re-usable collection of tools that I can use in other projects. Therefore, this project is essentially "needs-driven", except a core subset of data structures and algorithms.

This project originated from 3 threads of thought. Firstly, while browsing through Mehta and Sahni's Handbook of Data Structures and Applications, I thought there might be utility to have a number of the listed data structures implemented in Python. Given my interest in biological data management, having a good set of data structures is always handy. The 2nd thread of thought came from Numerical Recipes. Again, I thought these algorithms will be handy to have and had started to translate some of them into Python during some overly energetic days. Finally, Python Cookbook had undergone 2 editions by 2008 and ActiveState had provided an online platform for Python Recipes which I found to be useful and can see how some of these recipes can be merged. Thus, COPADS is borned.

Annotated Publications from this project

Ling, MHT. 2009. Compendium of Distributions, I: Beta, Binomial, Chi-Square, F, Gamma, Geometric, Poisson, Student's t, and Uniform. The Python Papers Source Codes 1:4. [Abstract][PDF][Zipped Codes]

This paper is the first of a series to implement routines to calculate statistical distributions which forms the basis of other statistical tests.

Ling, MHT. 2009. Ten Z-test Routines from Gopal Kanji's 100 Statistical Tests. The Python Papers Source Codes 1:5. [Abstract] [PDF] [Zipped Codes]

This paper is the first of a series to implement statistical tests routines. For this manuscript, I chose to implement test routines from Gopal Kanji's book which uses Normal distribution, accounting for 10% of the book.

Ling, MHT. 2010. Distances Measures between Two Lists or Sets. [In review]