https://github.com/mkcor/advanced-pandas

Pandas is a powerful tool for data exploration and analysis (including timeseries).
https://github.com/mkcor/advanced-pandas

data-analysis data-science labeled-data notebooks python3 teaching-materials

Last synced: about 2 months ago
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Pandas is a powerful tool for data exploration and analysis (including timeseries).

• Host: GitHub
• URL: https://github.com/mkcor/advanced-pandas
• Owner: mkcor
• License: cc0-1.0
• Created: 2017-08-16T01:38:36.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2017-12-05T17:14:20.000Z (almost 8 years ago)
• Last Synced: 2025-04-15T08:44:44.094Z (6 months ago)
• Topics: data-analysis, data-science, labeled-data, notebooks, python3, teaching-materials
• Language: Jupyter Notebook
• Size: 1.54 MB
• Stars: 26
• Watchers: 2
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Advanced data analysis techniques with Pandas

[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/mkcor/advanced-pandas/master)

https://python.g-node.org Summer School 2017

## Setup

    $ conda env create -f environment.yml

    $ source activate advanced-pandas

    $ jupyter notebook

## Outline

### Pandas objects

### Data exploration

### Timeseries operations

### Multi-indexing

### Testing (defensive programming)

### SQL-type operations

## References

* [Python Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook)

by Jake VanderPlas

* [Tidy data](https://www.jstatsoft.org/article/view/v059i10/) by Hadley Wickham

* [Feather format, for sharing datasets](http://wesmckinney.com/blog/feather-its-the-metadata/)

by Wes McKinney