Let's share the wonderful joy of famous quotes to the world with a quoting machine web application that uses natural language sentiment to tailor the right quote for the user.

Description

The class will teach you how to take your Python ideas and extend them to the web into real Web Applications so the world can enjoy your work.

In this class, we will:

• develop our ideas in a local Jupyter notebook

• gather data (famous quotes)

• use the Vader NLP sentiment algorithm

• tune our models and dispensing mechanisms locally

• design the look and feel

• get graphics

• extend responsive HTML templates

• port to the web using PythonAnywhere

• enjoy great quotes in tune with our moods 24/7

Above all, you will understand how you can port your ownPython ideas to the web into fully interactive web applications so the world can enjoy your work!

• Anybody wanting to extend their programmatic reach
• Anybody wanting to share their work to the entire world by porting to the web

Course content

• Introduction
  • Introduction
  • Musical Introduction - Optional
  • Questions Before Starting Any Project/Software Journey
  • Storyboarding
  • Finding Data - Where to Find Famous Quotes
  • Sentiment Scoring With the NLTK Vader Tool
  • Building the Quote Dispensing Engine - Abstracting With Functions
  • A Few Good Tools to Design a Web Application
  • A Flask primer
  • Getting Professional Help - How I Do It With UpWork
  • Building Our Quoting Machine on PythonAnywhere - Part 1
  • Building Our Quoting Machine on PythonAnywhere - Part 2
  • Conclusion