A collection of 8 Applied Data Science projects.
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Updated
May 29, 2024 - Jupyter Notebook
A collection of 8 Applied Data Science projects.
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
PyMongo - the Official MongoDB Python driver
Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
Quotes RESTful API created with Flask-RESTful and Flask-Mongoengine. Documented with Open API specification. Deployed with Zappa.
Userbot Some Features Written With Python And Library Pyrogram . Support Multi Language. Jangan Lupa Kasih Bintang (Don't forget give me stars)
Django and MongoDB database connector
Mouse brain proteins database for the course of "Introduction to Biotechnology" of the MSc DSIT @ NKUA.
finiteCraft is the best scraper and tree for Neal Agarwal's Infinite Craft
This project demonstrates the implementation of a loan approval system that utilizes MongoDB for distributed data storage and management, and PyMongo for database operations. The project aims to automate the assessment of loan eligibility using customer details from online applications.
Employee Management System is a robust application developed in Python with seamless integration with MongoDB, it provides a scalable solution for storing and managing employee data. From adding and updating employee records, this system enhancing organizational efficiency and productivity.
Prometheus file service discovery with RESTful API
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