Tutorial for Pydantic and SQLAlchemy
-
Updated
May 1, 2025 - CSS
Pydantic is the most widely used data validation library for Python. Fast and extensible, Pydantic parses data and enforces type hints at runtime, providing user-friendly errors when data is invalid. Its core validation engine is implemented in Rust, making it extremely fast for JSON serialization and data schema parsing.
Tutorial for Pydantic and SQLAlchemy
Production Python patterns for construction project tracking & change order automation — document parsing, WBS/data taxonomy, and Primavera P6 / MS Project schedule sync.
Multi-model GenAI Flask app — routes customer queries to Llama 3.2, Granite 3.3 & Mistral Small via IBM Watsonx, returns structured JSON (summary + sentiment + response) using LangChain LCEL
Professional-grade real-time AI Voice Assistant platform built with FastAPI, Next.js, and VAPI for intelligent voice call orchestration.
Using data validation effectively
Blog application from the official flask documentation
Documenting my backend development learning journey with FastAPI, PostgreSQL, and Python through consistent daily commits.
Developed an intuitive web application that analyzes food nutrition labels and assigns health scores based on nutritional guidelines.
A realistic job interview simulator utilizing Gemini 3.5 Flash for stateful multi-turn technical & behavioral sessions, speech-to-text response tracking, and structured Pydantic scorecard evaluations.
Engineering reference for clinical lab LIMS integration & result validation pipelines — HL7/CSV ingestion, validation rule engines, CLIA/CAP compliance, FHIR R4 publishing, and audit trails.
Multi-agent AI research pipeline built with LangGraph — Planner, Researcher, Analyst, Writer & Reviewer agents collaborate with a self-correction feedback loop to generate adjustable-depth reports.
IN progress portfolio website... built using Python 3.8, FAstAPI, Postgres, SQLAlchemy, Pydantic... Docker and K8s to come soon for delpoyment.
Task management web app built with FastAPI, React, and PostgreSQL. Includes status filtering, statistics endpoint, and Docker Compose setup.
Production-grade, audit-ready nonprofit grant management & compliance reporting automation — deterministic parsing, IRS 990 & 2 CFR 200, in Python.
Created by samuelcolvin
Latest release 11 days ago