Using Python (pandas) for data analysis
Let's use pandas to interactively dive into a few data set.
[pandas](https://pandas.pydata.org/) is one of the corner stones of the scientific Python ecosystem. After a brief introduction about its role in the SciPy stack, we will turn to live coding to discuss pandas in action.
In particular, we will cover the following questions:
- What kind of problems does pandas solve?
- How does using pandas look/feel like?
The examples are self consistent with [Jupyter notebooks](https://jupyter.org/) alongside the data made available after the talk.
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