🚀百度贴吧Scrapy爬虫，附简单可视化分析

This is a template for a web app using Flask and MongoDB. It uses Flask-Login for authentication, Flask-Pymongo for the database connection, Flask-Bcrypt for password hashing and Flask-Talisman for security. The front-end uses Bootstrap and Font Awesome. The app features user verification by email, basic note recording and messaging between users.

Get Twitter trends with twitter4j, stream it to a Kafka topic, save it to MongoDB and visualize in Google Maps

Fashion Intelligence system by Team CodePhreaks26 for Flipkart Grid 2.0

Conference-Notify is an open source web based application that will aggregate conference information and allow users to search and create recuring reminders and feed for themselves

Simple MongoDB Flask App that create, change status, and delete todo list items.

Full Stack MongoDB-based Flask Milestone Project|| Score: 97%

Notifications from PyMongo to subscribers.

AWS ECS container based Dockerized Flask based Full Stack App for City Information using AngularJS, Python, RESTful, Javascript, HTML, Flask, PyMongo, MongoDB, Docker hosted on AWS cloud using ECS container service running on EC2 instances

Football database UI that records match results and player statistics.

Repository for Exun 21-22 Build Hackathon

Virtual Cookboox allows the user to create, read, update and delete recipe records. Built in Python.

A twitter data analysis project which uses Tweepy for data retrieval, MongoDB as storage and Flask for back-end.

A paleo recipe management Application built using Python, Flask+SQLAlchemy, Flask+PyMongo, Bootstrap 5, JavaScript and Cloudinary API. This is a hybrid database project using both MongoDB and PostgreSQL. Paleo Recipes is my third milestone project for Code Institute's Level 5 Diploma in Web Application Development (Full Stack Software Development).

Projects for the Udacity Data Analyst Nanodegree

Track your podcast listening habits.

A Website to track Amazon prices

Using Python, I audited and cleaned an OpenStreetMap XML extract, reshaped into JSON, and loaded and queried in MongoDB.

A simple web app showing the working of pymongo with flask framework