Fully Functional Voice Based Natural Language UI
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Updated
Apr 9, 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.
API Client to communicate with the Cheshire Cat AI
Pydantic + Supabase = <3
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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