Next Talk: Pandas for practical, real world data analysis in Python

[Straw,Andrew]

Py4Science VBC talk announcement

*Pandas for practical, real world data analysis in Python*

Andreas Poehlmann

Friday, 7 June 2012, 12:30pm, GMI Orange Seminar Room (room 9.36)

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal.

pandas is well suited for many different kinds of data:
- Tabular data with heterogeneously-typed columns, as in an SQL table or
Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time series
data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with row
and column labels
- Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas data
structure

I'll give you an overview over the available data structures, the different file backends and some of the wonderful magical powers that pandas posseses. See you then!