- 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