2018-05-jupyter-demo

Demo of using Jupyter for data science, especially interactive features.

• (notebook)
• (lab)

Project Organization

├── LICENSE
├── README.md          <- The top-level README for developers using this project.
├── Demo.md            <- Outline of demo.
├── environment.yml    <- The conda environment file for reproducing the analysis environment, e.g.
│                         generated with `conda env export -n jupyter-demo > environment.yml`
├── tasks.py           <- Invoke tasks definitions
├── postBuild          <- Binder post-build install script
│
├── data               <- The original, immutable data dump.
│
├── decisions          <- Lightweight decision records, for both architecture and analysis. See 
│                         http://thinkrelevance.com/blog/2011/11/15/documenting-architecture-decisions.
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.

Third-party examples

1. Jake VanderPlas, Reproducible Data Analysis in Jupyter
2. ipywidgets project, Lorenz Differential Equations
3. BeakerX project, Python examples
4. bqplot project, Wealth of Nations

All under permissive licences like MIT, BSD or Apache 2.0.

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Project based on the cookiecutter data science project template. #cookiecutterdatascience