https://github.com/jobar8/subsurface_hackathon_2017

Three notebooks to jump start a data science project
https://github.com/jobar8/subsurface_hackathon_2017

data-science geophysics groundwater ipywidgets

Last synced: 5 months ago
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Three notebooks to jump start a data science project

• Host: GitHub
• URL: https://github.com/jobar8/subsurface_hackathon_2017
• Owner: jobar8
• License: mit
• Created: 2017-06-19T19:55:41.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-06-21T06:46:54.000Z (about 9 years ago)
• Last Synced: 2024-01-27T03:41:27.117Z (over 2 years ago)
• Topics: data-science, geophysics, groundwater, ipywidgets
• Language: Jupyter Notebook
• Size: 6.06 MB
• Stars: 7
• Watchers: 4
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# subsurface_hackathon_2017

*Three notebooks to jump start a data science project*

This repository is associated with a post on my [blog](http://geophysicslabs.com/2017/06/19/three-notebooks-to-jump-start-a-data-science-project/).

---

The three Jupyter notebooks that you will find here were originally written during the [Subsurface Hackathon](https://agilescientific.com/blog/2017/6/13/le-grand-hack) that took place in Paris in June 2017. [Martin Bentley](https://github.com/mtb-za) and I were in a team that tried to exploit the free availability of groundwater data from the [Geological Survey of the Netherlands](https://www.dinoloket.nl/en).

The notebooks provide some examples written in Python for tackling this project, but I think the code is pretty generic and can be used for a large range of other data science projects, especially in geology or geophysics. 

![mean_depth_vs_time](./mean_depth_vs_time.png)

While much more is certainly possible to achieve with this dataset, I hope this work can help anyone who wants to start a data science project using open data, Python, the pandas library, and Jupyter notebooks.

## Requirements

- Python 3.5

- pandas 0.20

- matplotlib 2.0

- numpy 1.12

- Scipy 0.19

- ipywidgets 6.0

Note that the notebooks might certainly work with slightly different configurations - nothing here is cutting edge.