So, I've been recently getting back into full stack work. I originally wanted to go with Django, but had a need for MongoDB, which wasn't as intuitive for me to implement in Django. So... I landed on Nuxt 3 for a "full stack" framework. Since I do a fair amount of LLM work, I decided on FastApi for my backend api server, since I have all of the good LLM libraries available to me that way. Today, I almost completely understand how to use a package, Lucia, to implement Auth in Nuxt 3. This stack will more than likely be my go to from building at this point, until I run into new issues. I wanted to share the win for public accountability to releasing one useful application bi-monthly. This is mainly for the sake of building muscle memory with product development and marketing. 😁

This course was amazing. Really good for beginners too https://madewithml.com/ + it's totally free if you do the local set up (course uses AnyScale to create compute but it is in no way required)

I've been working through this lately http://introtodeeplearning.com/. MIT open sourced this course as well as some of the code associated. Deffo worth a look

Can someone please suggest me DSA strategies, how to approach a problem on Leetcode and all?

I wrote this blogpost earlier in the year for a newsletter https://medium.com/@edward-heaver/protocols-structural-vs-dynamic-types-in-python-0e66fa62ff54 If you're new to Python, give it a read!