The reliability of statistical functions in four software packages freely used in numerical computation, Brazilian Journal of Probability and Statistics, vol.23, issue.2, pp.107-119, 2009. ,
DOI : 10.1214/08-BJPS017
Python Essential Reference, 2001. ,
Python: a language for computational physics, Computer Physics Communications, vol.177, issue.1-2, pp.199-201, 2007. ,
DOI : 10.1016/j.cpc.2007.02.019
Using Python for large scale linear algebra applications, Future Generation Computer Systems, vol.21, issue.6, pp.969-979, 2005. ,
DOI : 10.1016/j.future.2005.02.001
Econometrics with Python, Journal of Applied Econometrics, vol.17, issue.2, pp.698-704, 2009. ,
DOI : 10.1002/jae.1088
R: yet another econometric programming environment, Journal of Applied Econometrics, vol.33, issue.3, pp.319-329, 1999. ,
DOI : 10.1002/(SICI)1099-1255(199905/06)14:3<319::AID-JAE533>3.0.CO;2-Q
Think Python: How to think like a computer scientist -Version 1, 2008. ,
On A 4 + B 4 + C 4 = D 4, Mathematics of Computation, vol.51, pp.825-835, 1988. ,
Econometric Analysis, 2008. ,
Beginning Python: From Novice to Professional, Apress, 2005. ,
Applied Econometrics with R, 2008. ,
DOI : 10.1007/978-0-387-77318-6
On reproducible econometric research, Journal of Applied Econometrics, vol.20, issue.9, pp.833-847, 2009. ,
DOI : 10.1002/jae.1083
Python Scripting for Computational Science, 2005. ,
Bridging the gap between Ox and Gauss using OxGauss, Journal of Applied Econometrics, vol.61, issue.1, pp.131-139, 2005. ,
DOI : 10.1002/jae.809
Python -All a Scientist Needs. arxiv.org/pdf/0803, 1838. ,
SMMP v. 3.0???Simulating proteins and protein interactions in Python and Fortran, Computer Physics Communications, vol.178, issue.6, pp.459-470, 2008. ,
DOI : 10.1016/j.cpc.2007.11.004
An Introduction to Copulas, 2006. ,
DOI : 10.1007/978-1-4757-3076-0
MontePython: Implementing Quantum Monte Carlo using Python, Computer Physics Communications, vol.177, issue.10, pp.799-814, 2007. ,
DOI : 10.1016/j.cpc.2007.06.013
URL : http://arxiv.org/abs/physics/0609191
Python in scientific computing: Applications to Bose???Einstein condensates, Computer Physics Communications, vol.177, issue.1-2, p.45, 2007. ,
DOI : 10.1016/j.cpc.2007.02.093
Guide to NumPy. www.tramy.us/numpybook.pdf, 2006. ,
Trends in applied econometrics software development 1985-2008, 2009. ,
Econometric software development: past, present and future, Statistica Neerlandica, vol.48, issue.2, pp.206-224, 2006. ,
DOI : 10.1111/1468-0262.00152
Copula-based models for financial time series In Handbook of Financial Time Series, 2009. ,
Dive into Python, 2004. ,
Using R to teach econometrics, Journal of Applied Econometrics, vol.46, issue.2, pp.175-189, 2002. ,
DOI : 10.1002/jae.657
A compendium of existing econometric software packages, Journal of Economic and Social Measurement, vol.29, pp.359-409, 2004. ,
Comparison of mathematical programs for data analysis (Edition 5.04), 2008. ,
The Python Library Reference: Release 2.6.2. docs.python.org/archives/ python-2.7-docs-pdf-a4.zip, 2010. ,
Econometrics in R: Past, present, and future, Journal of Statistical Software, vol.27, issue.1, 2008. ,
Modular toolkit for Data Processing (MDP): a Python data processing framework, Frontiers in Neuroinformatics, vol.2, issue.8, 2009. ,
DOI : 10.3389/neuro.11.008.2008