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fixed Pandas issue and I have better, cleaner data now
started switching some nasty scraping code project over to Pandas because it works so damn well
more Pandas updates and I built out a reverse scraper which makes it easier to say what values you want on a page and then it builds out the CSS selectors backwards.
finished pypi refactor of 
#djangopackages
🐼 reading up on the Python Pandas library since it makes scraping HTML tables easy peasy
working with Pandas (Python) to update a few existing scrapers. It's really, really nice but I ran into a bug trying to pull URLs that I don't want to think about right now.
⬆️ upgraded #djangopackages to Django 4.1
dusted off my build django project and updated templates and the backend to be easier to maintain
converted our pydantic v1 models to v2 for 
#djangocon
Upgraded/ported 
#jobs to use the latest django-ninja and version of schemas
⬆️ updated python to latest versions 🐍 
#dotfiles
completed Matplotlib + Dictionaries & Pandas chapters of Intermediate Python #datacamp
⬆️ upgraded #djangopackages to Django 4.0
⬆️ upgraded Django from 3.0 to 3.1 
#djangonews
🚜 refactored the new #jobs parser to leverage OpenAI's latest beta + pydantic parsing and it's almost ready for primetime.
fixed a #djangopackages bug and started working on adding pypa/packaging support vs. rolling my own
upgraded #djangopackages to work with Python 3.8 and updated requirements
figure out how to use pandas to upload excel sheet into db #sod