Using Python (pandas) for data analysis (glt19)

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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. about this event: https://pretalx.linuxtage.at/glt19/talk/PCZS9R

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