Ask HN: What are your favorite Python codebases?
3 comments
I can’t say these will “advance your Python skills”, but these are definitely projects that are worth a look:
- Django
- Django-Nap
- Django REST framework
- Flask
- Twisted
- Tornado
- Klein
- NumPy
- SciPy
- Pandas
Are they the cleanest, most beautiful codebases? Maybe not. But they tackle some interesting problems, some of them with some overlapping so you may get to see different ways/philosophies of solving the same problem, even though the Zen says there should be only one obvious way.
Django is a batteries-included web app framework. Flask is minimal. Tornado does async networking. Klein is like Twisted and Flask had a child (because a Klein bottle is a twisted flask). NumPy and SciPy deal with matrices and massive number crunching, leveraging Cython. Pandas deals with tabular, sometimes sparse data frames (if I remember correctly).
- Django
- Django-Nap
- Django REST framework
- Flask
- Twisted
- Tornado
- Klein
- NumPy
- SciPy
- Pandas
Are they the cleanest, most beautiful codebases? Maybe not. But they tackle some interesting problems, some of them with some overlapping so you may get to see different ways/philosophies of solving the same problem, even though the Zen says there should be only one obvious way.
Django is a batteries-included web app framework. Flask is minimal. Tornado does async networking. Klein is like Twisted and Flask had a child (because a Klein bottle is a twisted flask). NumPy and SciPy deal with matrices and massive number crunching, leveraging Cython. Pandas deals with tabular, sometimes sparse data frames (if I remember correctly).
I’m looking to advance my python skills so what codebases should I look at