this post was submitted on 14 Nov 2024
31 points (100.0% liked)
Programming
17695 readers
306 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities [email protected]
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
These two are my favorite balance of fundamentals and getting to purposeful application as quickly as possible (the first link is definitely not enough, but combined with the second she should be comfortable with the syntax and able to get basic things working):
https://www.kaggle.com/learn/intro-to-programming
https://www.kaggle.com/learn/python
This one takes its time with fundamentals and includes some projects to put them in context of building something. It's presented on Google Colab and Jupyter notebooks: https://allendowney.github.io/ThinkPython/
Working with GIS data means cleaning data. This one covers that and a lot of common analysis tools and techniques. But it assumes a bit of programming knowledge (Good to follow up after one of the options above): https://wesmckinney.com/book/