Using Python (pandas) for data analysis
04-27, 17:00–17:25 (Europe/Vienna), i2
Language: English

Let's use pandas to interactively dive into a few data set.

GitHub repository, thank you for coming!

pandas 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 alongside the data made available after the talk.

See also: Folien (145.8 KB)

Claus is a Data Scientist and event organizer passionate about structuring things and learning from data. Over the past years, he has worked in areas related to applied and industrial research, algorithmic trading and social media.
Besides statistics and Machine Learning, he is interested in software craftsmanship, communities and open source.

Motto: “Code or it didn‘t happen!”

In addition to his employment, he works as freelance consultant and trainer for (scientific) Python and data analysis.

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