"If you have knowledge, let others light their candle at it"
We've assembled a list of resources for researchers, including tools we use, things we like, tutorials we've made, experiment code, and more. We hope these resources are useful to you. Please borrow or adapt anything you like. We love to share and we trust you to cite us or others where appropriate.
We love Jupyter notebooks for analyzing data in python, R, or Julia
Google Colab is our favorite way to Jupyter notebook (because its simple and accessible)
We also love the jupyter/datascience-notebook container and have some tutorials for using that if you prefer
Exbuilder is a tool we developed to conduct reproducible research with docker containers
We also use and love the tools developed by the Wharton Credibility Lab (here at UPenn!) including:
Wiki and websites