Statistics and Data Analysis in Python with pandas and statsmodels

September 16, 2011

(This article was first published on VCASMO - drewconway, and kindly contributed to R-bloggers)

Wes McKinney is a prominent figure in the scientific Python community, and has made tremendous contributions to several core statistical computing libraries in that language. This month, Wes will be speaking specifically about two packages he has created related to data manipulation in Python and analysis.

pandas is a Python library providing powerful and flexible data structures (similar to R’s data.frame) and accompanying tools for data wrangling, time series, input / output, and visualization. statsmodels is a related Python project providing standard statistical and econometric models.

In this talk Wes will demo the features of both libraries, particularly as they relate to similar tools in R, as well as speak about planned work to create an better integrated statistical computing environment in Python. I will also touch on connections to other scientific Python projects of interest to the statistical computing community.

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