This software project is implemented using the VK bug API, which allows you to receive documents that have ever been sent as messages by users of this social network.
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Updated
Jun 20, 2021 - HTML
This software project is implemented using the VK bug API, which allows you to receive documents that have ever been sent as messages by users of this social network.
Backend & frontend that retrieves data from countries.geojson and plots it on a Mapbox map
A CRUD users REST API using Python3 Flask and FastAPI
Pydantic models for Mason Data
When writing data classes becomes too much work
Python library to store, fetch and modify data in a GitHub repository as a database using Pydantic models and the GitHub REST API.
Бот-предложка для анонимки
Python model for Fortran package manifests
Schema.org classes in pydantic
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.
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.
Пример прдуктивизации ML решения. Подробнее в блоге: https://mvrck.space/
A highly customizable cache manager for python
A simple application for logging complaint or report an issues form user activities.
A backend service for a simple Pizza Delivery System built using Python, Jinja2Templates, Postgresql, FastAPI, SQLAlchemy and Pydantic Models for data validation.
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.
Enables the capability to effortlessly upload large volumes of data from a CSV file into the database.
The Trades API is a web application built with Flask, in Python. It provides endpoints to retrieve trade information from a MySQL database, filter trades based on various parameters, and search for trades. It uses Pydantic models for data validation and serialization/deserialization of trade objects.
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