Full Stack Python – Chai aur Code Edition

This is my repo while learning Full Stack Python through Hitesh Choudhary’s Chai aur Code course. It’s less of a polished project and more of a diary of code, experiments, and the occasional bug that refuses to leave.

---

What this course covers

• Python 🐍 (obviously, the star of the show)
• Understanding the core of Large Language Models (LLMs): tokenization, embeddings, attention, and transformers
• Running and deploying models locally with Ollama, Hugging Face, and Docker
• Creating stateful AI systems with LangGraph (nodes, edges, checkpointing)
• Deployment and the art of breaking production at midnight

---

My learning notes

• pip install is basically life support

• Most bugs aren’t errors, they’re personality tests

• Git commit messages are usually confessions like:

  fixed the thing that broke the other thing
  

• “Sun lo dhyaan se” from Hitesh is usually followed by something important I miss the first time

---

The course mantra

Chai in one hand, code in the other. If the code doesn’t work, maybe it’s time for another cup.

---

What I hope to get by the end

• Projects that actually run
• A better understanding of how the web holds itself together
• The confidence to call myself a full stack Python developer (with Stack Overflow open in another tab)