pandas Papers

• Data Structures for Statistical Computing in Python; presented at SciPy 2010[pdf][ bib]
• pandas: a Foundational Python Library for Data Analysis and Statistics; presented at PyHPC2011 [pdf][ bib]

pandas Talks

PyCon US 2015

• Pandas From The Ground Up (Speaker Brandon Rhodes)

  The typical Pandas user learns one dataframe method at a time, slowly scraping features together through trial and error until they can solve the task in front of them. In this tutorial you will re-learn how to think about dataframes from the ground up, and discover how to select intelligently from their abilities to solve your data processing problems through direct and deliberately-chosen steps.

  Material of the Talk can be found here

  Duration: Talk = 2:24:57, with yourself doing also all the Exercises = 1 day (requires a python Distribution + material)

Kiwi PyCon 2013

• Exploring Science on Twitter with IPython Notebook and Python Pandas

PyCon US 2013

• Server Log Analysis with Pandas

SciPy 2013

• Statistical Data Analysis in Python
• Climate Observations from ACIS in pandas

PyCon US 2012

• Data analysis in Python with pandas

SciPy 2012

• Time series data analysis with Pandas

PyData 2012

• PyData: Data Analysis in Python with Pandas

EuroPython 2012

• Fast Data Mining with Pytables and pandas

PyGotham 2011

• Powerful Pythonic data analysis using pandas

Introduction to pandas at SciPy 2010:

Introduction to pandas at PyHPC 2011:

Inside pandas development at NYC Python Meetup:

More presentations:

• Structured Data Challenges in Finance and Statistics (Rice) (11/21/11)
• Python for Financial Data Analysis with pandas (10/17/11)
• Data Analysis and Statistics in Python (9/14/11)
• Older presentations on slideshare