Agent-Based Simulation of COVID-19 Health and Economical Effects

An implementation using Python.

Getting Started with Spark (in Python)

Using Python, here.

Ipython notebook in Pycharm

I did not realize Pycharm provides a complete IDE for ipython notebook. This is really cool.

Will it Python?

Will It Python provides Python translation of the R code used in Machine Learning for Hackers.

Python Tools for Machine Learning

Useful resources.

R vs Python: Why R is still the king of statistical computing

Here are some good arguments. I particularly like the author's argument regarding the vital role of Rcpp in the future development of the R ecosystem.

Useful ipython notebooks

Here is a large collection of useful ipython notebooks.

Useful ipython notebooks

There is probably no better way to demonstrate computer code than ipython notebook. Here are a number of examples that I find useful:

• Mining the social web;
• Maximum likelihood using sympy;
• Working with pandas;

Useful python libraries for social scientists

Here is a list of useful python libraries for social scientists.

Easy_install utility for Python libraries

The "easy_install" tool is very convenient to install Python libraries, especially on Linux platform. I used it to get "rpy" to work on my computers.

Python resources

Here is a good list of python resources.

Lisp and python

This helps understanding both better.

R vs. python

Fascinating discussions here.

PyMC

PyMC is a Python implementation of MCMC sampling algorithm, looks very promising. Not it is in its second major release, with a full-blown manual. have the potential for a serious Bayesian package.

MCMC in Python

The Python library "PyMC" looks promising (http://code.google.com/p/pymc/). Also, here are some demos: http://healthyalgorithms.wordpress.com/2008/11/26/mcmc-in-python-pymc-for-bayesian-probability/

Reading and writing data using Python

http://www.ibm.com/developerworks/opensource/library/os-python8/?ca=dgr-lnxw16DicoverPythonP8

PIDA

The PIDA project (http://www.debianadmin.com/pida-python-integrated-development-application-a-python-ide.html) represents an interesting approach toward Python IDE. It builds upon either VIM or Emacs (my editor of choice) and tries to make Python specific programming easier.

Bridging R and Python

Project RPy looks promising: http://rpy.sourceforge.net/rpy2/doc/html/index.html

Emacs as Python IDE

http://www.enigmacurry.com/2008/05/09/emacs-as-a-powerful-python-ide/

Python 3

Python 3 has been released: http://www.python.org. It will be interesting how well it is received by the majority of Python programmer.