A public-facing guide to tools we use for data journalism!
You can reproduce our environment for data cleaning and analysis with the Requirements file in this repo.
I grew accustomed to virtualenvwrapper
, but am happy to adopt the virtual environment capabilities baked into Python 3. So far I just use an alias to drop into this environment as quickly as possible: alias dataenv="source ~/Envs/datateam/bin/activate"
. I imagine a more sophisticated tool already exists, and I'm happy to hear about it!
IRE membership affords a free individual account. I don't have related code to share yet, but I encourage people to look into the tool. The organization has a GitHub profile too.