My_coding_journey

Next steps: Create the remaining tables from my schema Build endpoints for them Ensure CRUD & relationships work smoothly Possibly add joins for aggregated queries

Today was a coding rollercoaster 🎢 but also super satisfying. I finally finished all CRUD endpoints for Stores and my raw items table in my Grocery Compare API! 🛒💻

🛠 Issues I ran into: SQLite tables not appearing (missed Base.metadata.create_all(bind=engine)) Foreign key headaches between store_id and raw items Internal Server Errors because of schema/db mismatch Lesson: small mistakes can break the stack, but fixing them is satisfying 😅

Today’s win: Mastered models.py & schema.py in FastAPI. Learned where to include/exclude columns, how defaults and optional behavior work, and handling different scenarios with Pydantic & SQLAlchemy. #Python #FastAPI #Pythonic #WebDev

Today’s win: mastering models.py & schema.py in FastAPI. Learned where to include/exclude columns, how defaults & Optional behave in all scenarios. A day of clarity on SQLAlchemy + Pydantic! #Python #FastAPI #SQLAlchemy #Pydantic

So far I have 2 complete endpoints working across the full stack: router → CRUD → models → schema → database Next goal: convert the rest of my endpoints into this structure.

Hey everyone! I know it's been a while since I posted. I’ve been experimenting with better ways to balance coursework, projects, and sleep — and realized something important: rest is just as important as studying. Back to building now 🚀

I also refactored my project structure. Instead of putting everything in main.py, I separated the code into: • routers → HTTP endpoints • CRUD → database logic • schemas → request/response models • models → SQLAlchemy tables Much cleaner architecture.

This week I started implementing SQLAlchemy — a layer that helps Python interact with databases (in my case, SQLite). I built my first 2 store endpoints and tested them with Postman.

Took some time to design the schema file. Its not perfect yet and will probably need changes in the future, but for now its something to get going on.

Added in a couple more endpoints, was able to get them all done in 30 mins once I've gotten some carbs. Tommorows' target is to use Pydantic for modelling the requests and responses.

Nothing huge yet — but I’m celebrating small wins. Next goal: Add a couple of POST endpoints Improve validation Structure the project better Documenting my journey publicly to stay accountable. Let’s build 💻🔥

Locking in 🔒 Starting my first serious project with Python & FastAPI. Set up FastAPI in VSCode, initialized Git, understood API flow, and built basic health + GET item endpoints. Small progress, big win. 🚀 Next up: POST endpoints & more learning.

This is my first time building a backend project seriously, and I’m focusing on consistency over perfection. So far: FastAPI project setup Local Git initialization Understanding request → route → response flow Health check endpoint Basic GET item endpoint

Starting a 2-month backend rebuild challenge! Building in public, sharing small wins, learning FastAPI + Python. First post coming soon. #BuildInPublic #FastAPI