Fully Functional Voice Based Natural Language UI
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Updated
May 12, 2024 - Python
Fully Functional Voice Based Natural Language UI
O!My Models (omymodels) is a library to generate Pydantic, Dataclasses, GinoORM Models, SqlAlchemy ORM, SqlAlchemy Core Table, Models from SQL DDL. And convert one models to another.
This article will teach you how to create a CRUD RESTful API with Python, FastAPI, PyMongo, MongoDB, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.
This article will teach you how to create a CRUD RESTful API with Python, FastAPI, SQLAlchemy ORM, Pydantic, Alembic, PostgreSQL, and Docker-compose to perform the basic Create/Read/Update/Delete operations against a database.
Schema.org classes in pydantic
Automatically and lazily generate three versions of your pydantic models: one with Extra.forbid, one with Extra.ignore, and one with all fields optional
Manage configuration with pydantic.
Pydantic + Supabase = <3
API Client to communicate with the Cheshire Cat AI
Python Library that Implements the BO4E Standard
Pydantic model for the AsyncAPI (v2) specification schema
Python library to store, fetch and modify data in a GitHub repository as a database using Pydantic models and the GitHub REST API.
A Python Library for Reading and Writing Excel Files.
🥁 An engaging data science & engineering assessment for internships & part-time roles
Pydantic classes for OpenAI's API
Python model for Fortran package manifests
msaDocModels - MSA Document Pydantic Models and Schemas, used to store Parser, NLP, NLU and AI results for processed documents Optimized for use with FastAPI/Pydantic.
FastAPI and MongoDB were used to create a backend web application that offers RESTful APIs for managing user tasks. With a simple and clear API interface, the programme enables users to create, retrieve, update, and delete to-do lists. FastAPI, a cutting-edge and quick Python web framework, powers the backend.
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