Really cool stuff. Trained on the New York Times ingredients corpus (large 13.5MB CSV) and turns this ingredients = [ "3 large melons", "5 1/2 cups water", "2 cups flour", ] into this [ { "name": "melons", "unit": None, "qty": 3.0 }, { "name": "water", "unit": "cups"…
I’ve been nearing capacity for a while and this is a Godsend.…
A still-very-relevant 9-year old article. Pandas has gone from strength to strength since he wrote that. In terms of expressing your computations, Hadoop is strictly inferior to SQL. There is no computation you can write in Hadoop which you cannot write more easily in either SQL, or with a simple P…
With the trailing comma and sorted properties/imports/arguments/whatever. Makes symbols easy to scan from top-to-bottom and looks like this in Python: from constants import ( EXIT_CODE_ARTICLE_ROOT_NOT_FOUND, EXIT_CODE_NOT_A_GIT_REPOSITORY, EXIT_CODE_NOT_AN_ABSOLUTE_PATH, MARKDOWN_EX…
Here’s how the author made that list. Here’s a cached version.…
Peter Norvig: (How to Write a (Lisp) Interpreter (in Python)). See also: HyLang. Looks super cool and always makes me wonder if anyone’s ever used it in production.…
The original comic…
XKCD. Add to the mix virtualenvwrapper pyenv pipenv pythonbrew Conda Then there’s Python’s packaging and distribution kerfuffle……