IX. FastAPI — Database Patterns: SQLModel & Alembic
Author(s): Mahimai Raja J Originally published on Towards AI. Deep dive into building scalable data layers Hi! So far we have covered almost every key concept, but without a database nothing can be persisted, right? So, today I will walk you through …
VI. FastAPI Dependency Injection: The Clean Code Secret
Author(s): Mahimai Raja J Originally published on Towards AI. Dependency Injection sounds standard? In FastAPI, it’s practical magic Today, we will see how to use dependency injection efficiently. I would refere dependency injection as DI sometimes and is more commanly used in …
V. FastAPI — Leverage The Async : When and Why
Author(s): Mahimai Raja J Originally published on Towards AI. Who else will like to wait, when there is a better option? Hi, Welcome back, we talked about building a FastAPI app with production ready architecture patterns and structure previously. Today we are …
III. Your First Python API in Under 10 Minutes
Author(s): Mahimai Raja J Originally published on Towards AI. Awesome, now that we have learnt about the foundations. Enough theory. Let’s build something. Fig 1. First content image of the articleThis article provides a step-by-step guide to building a complete CRUD API …
II. Type Hints & Pydantic: FastAPI’s Foundation
Author(s): Mahimai Raja J Originally published on Towards AI. FastAPI’s magic isn’t magic. It’s a team work with Pydantic. You’ve seen the demos. A few lines of code, automatic documentation, request validation that just works. It looks like magic. The article delves …
I. The Modern Web & Why FastAPI Exists in 2026
Author(s): Mahimai Raja J Originally published on Towards AI. FastAPI isn’t just another framework. It’s a response to a decade of Web Development built by a Indie Developer without Phd. Guess who? Every few years, a new Python web framework appears and …
How to Migrate from Elasticsearch to Qdrant: A Complete Guide with Real-World Solutions
Author(s): Mahimai Raja J Originally published on Towards AI. I’ve watched the same pattern repeat itself over the past few years: teams build vector search prototypes on Elasticsearch because it’s already in their stack, scale to production with millions of embeddings, then …
Context Engineering for LLMs: Build Reliable, Production-Ready RAG Systems
Author(s): Mahimai Raja J Originally published on Towards AI. Context Engineering for LLMs: Build Reliable, Production-Ready RAG Systems Your Large Language Model (LLM) prototype felt like magic. But in production, the magic is gone. It hallucinates, gives vague answers, and costs are …
Python 3.14 Unlocks True Multicore Power, Go Lang level concurrency
Author(s): Mahimai Raja J Originally published on Towards AI. Python 3.14 Unlocks True Multicore Power, Go Lang level concurrency Python keeps evolving on every updates, but this time it is literally a wow moment! I am a very old user of Python, …
Popular posts
Updates
Recent Posts
