# Statistics and Data Analysis in Python with pandas and statsmodels

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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.**VCASMO - drewconway**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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.

http://pandas.sourceforge.net

http://statsmodels.sourceforge.net

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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