• On the left sidebar, a tools section gives the entrance to two pages.

• Each serves a real-time monitored page on 10 latest or 10 trending Questions on "#Android".

• By clicking on the buttons/ interactive UI, a user can

  1. Navigate to original Question page via new tab.
  2. Preview Question & Answer threads by clicking on the listed question.
  3. See the Votes & Answer count in a straightforward UI.

• StackOverflow disallows accessing any answer-related-content via iFrames or API. Parsing the RSS feed became the next best option.

• These pages can be stacked or modified to take user inputs on monitoring different tags/filters with few changes.

Features like voting are not implemented as it requires complex auth process. UI components are in place though.

• Following two features doesn't use real-time scraping due to API limits and costs. Few minor modifications will allow more frequent runs.

• Almost responsive design.. smartphone compatible.

• Data visualization of "User heatmap who asked a Android related question over the past week"
  • This feature is implemented using Leaflet.js

• Data visualization of "Technologies most related to Android over the past week"
  • This feature is implemented using wordcloud2.js and a Geocoder API.

• Django - The web framework for perfectionists with deadlines.
• jQuery - jQuery JavaScript Library.
• Bootstrap - The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
• Font-Awesome - The iconic SVG, font, and CSS toolkit.
• Leaflet - JavaScript library for mobile-friendly interactive maps.
• wordcloud2.js - Tag cloud/Wordle presentation on 2D canvas or HTML.
• Feedparser - Parse feeds in Python.
• Docker - Docker Engine.
• Gunicorn - Python Http Server.

• Tom Tom - A Geocoder API Service.
• StackExchange API - StackExchange API

• Cleanup code
• Better Responsive Design

Docker - Gunicorn - Tencent Cloud

1. Modify settings.py in StackOverseer, make sure docker is set to True

• To run the project in pure local env (Not recommended).

• To build the source code in your local Docker

  • The docker container will automatically reflect latest change of source code. So don't build again, run > docker-compose up instead.
  1. Clone the code, make sure docker is running
  2. Make sure the DOCKER Variable is set to True in settings.py
  3. Run following commands

     [Windows Git Bash]> winpty docker-compose run web python manage.py createsuperuser
     
     [Unix & Powershell]> docker-compose run web python manage.py createsuperuser
     
     docker-compose build
     
     docker-compose up
     

• Pycharm - Preference - Plugin - Marketplace

• Search for Pylint, Install it and reboot Pycharm. Pylint will appear as an icon in lower left corner, there's one inside VCS - Commit too.

• Python 3.7+
• python on the PATH

import sys
      
print("Python EXE : " + sys.executable)