enb 0.2.3

Library to gather and disseminate computer-based experimental results.

# Experiment Notebook Python library to design, run and plot experiments.

pip install enb

Ideal for cases where:

• multiple inputs need to be processed by one or more customizable tasks, producing a table of data

• one wants to apply custom code to existing data to produce new columns

• analysis tables and plots are needed for one or more data columns

Also take a look at the templates and the plugins folder for some examples.

You can read the documentation and browse the code at https://miguelinux314.github.io/experiment-notebook.

You are welcome to submit your extensions via a pull request to the dev branch.

Main developer:

Miguel Hernández-Cabronero <[e-mail]>

Contributors:

Ester Jara <[e-mail]> Natàlia Blasco <[e-mail]> Artur Llabrés <[e-mail]> Ashwin Kumar Gururajan <[e-mail]>