This repository has a collection of Jupyter notebooks:
These notebooks are tested regularly on a Linux continuous integration server hosted by Travis CI:
This branch should work:
This branch should fail:
Alongside each notebook there is a html version with the same name but with a .html
extension instead of .ipynb
.
Notebooks can be explored live online using binder. Click on the binder badge and wait for binder to start.
Binder settings:
├── ci.sh <= This script contains
├── environment.yml <= Contains all dependencies to run notebooks
├── data
│ ├── raw <= raw data used in the project
│ └── processed <= processed data used in the project
├── LICENSE
├── nbcollector.py <= Collects and prints markdown links to all notebooks in the repository.
├── notebooks <= Put Jupyter notebooks here.
│ ├── divbyzero2.html
│ ├── _divbyzero2.ipynb
│ ├── divbyzero2.ipynb
│ ├── divbyzero.html
│ ├── divbyzero.ipynb
│ ├── index.html
│ ├── index.ipynb
│ └── SubFolder
│ ├── insubfoldr.html
│ └── insubfoldr.ipynb
└── references <= Put all references such as papers, manuals etc.
└── binder.png <= This image show basic binder settings
├── ci.sh <= This shell script creates a conda test enviroment based on the environment.yml file
├── environment.yml <= Put all dependencies to run notebooks here
├── LICENSE <= Some liberal software licence
├── notebooks <= Put Jupyter notebooks here.
│ ├── data
│ │ ├── processed <= processed data used in the project
│ │ └── raw <= raw data used in the project
│ ├── divbyzero2.html
│ ├── divbyzero2.ipynb
│ ├── divbyzero.html <= a html version of a notebook
│ ├── divbyzero.ipynb <= a notebook
│ ├── index.html
│ ├── index.ipynb
│ ├── nbcollector.py <= This script can be run to collects and prints markdown links to all notebooks in the repository.
│ ├── references <= Put all references such as papers, manuals etc.
│ │ └── binder.png
│ └── SubFolder
│ ├── deeper
│ │ └── insubfoldr.ipynb
│ ├── insubfoldr.html
│ └── insubfoldr.ipynb
└── README.md <= this file. Should have links to notebooks
Project based on the cookiecutter data science project template. #cookiecutterdatascience