A collection of 8 Applied Data Science projects.
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Updated
Jun 14, 2024 - Jupyter Notebook
A collection of 8 Applied Data Science projects.
A lightweight wrapper around pymongo to access MongoDB documents and subdocuments through custom user-defined classes.
PyMongo - the Official MongoDB Python driver
Simple and efficient Pydantic-based models for MongoDB (PyMongo & Motor)
Our website is a centralized application that integrates the reviews from the different websites for categories like movie, restaurants using web scrapping
Basic MongoDB ChangeStream trigger management
ODM with Pydantic made it simple
🤖 An Object Document Mapper (O.D.M) for MongoDB built on-top of Motor's asynchronous library for asynchronous CRUD operations. Built for use in asynchronous backend applications using Python.
This project is an authentication program developed using Python and MongoDB (pyMongo). It enables users to either log in to an existing account or create a new account, with all account information being stored securely in a MongoDB database.
RESTful API built for the Book reading (BookApi) application. Its code is built with Python and the Flask Web Framework. It responds to authenticated front-end requests and connects to a NoSQL database (MongoDB). Some of its files contain configurations for deployment through Nginx
Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
Prometheus file service discovery with RESTful API
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