PyData Amsterdam 2016
The notebook can be found at http://s.lanzani.nl/pydataamsterdam
In this tutorial we will walk through the most useful pandas features with examples and exercises. The tutorial will assume some basic Python knowledge.
In this tutorial we will walk through the most useful pandas features with examples and exercises. We will take a look at:
- Dropping data
- Adding data
- Apply functions to dataframes
- Missing data
- Merge and combine
- Stacking and unstacking
- Replacing values
- Binary decomposition
- Data aggregation
- Quantile bucket analysis
During the tutorial we will decide how many exercises to fit. The students will get the notebook if time won't be enough to cover everything.