+1 -1 +42
Vote on this proposal

Advanced data analysis with Pandas

by Anand S (speaking)

Technical level


You will learn how to:

  • Use Pandas to load data from databases, the web, and HDF5
  • Merge datasets flexibly
  • Create multi-level aggregations
  • Resample time series data

... using real-world examples


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.


A working knowledge of Pandas.

You'll also need Pandas and iPython installed on your system

Speaker bio

Anand is the Chief Data Scientist at Gramener, a data analytics and visualisation company. He blogs at s-anand.net


Login with Twitter or Google to leave a comment →