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Build a Web Application with Python, Flask and NLP
Rating: 4.3 out of 5(314 ratings)
24,664 students

Build a Web Application with Python, Flask and NLP

Share the joy of famous quotes with a cloud-based web app using natural language processing to hit the right mood!
Created byManuel Amunategui
Last updated 4/2020
English
English [Auto],

What you'll learn

  • Easily create web applications using Python and Flask
  • Quickly port your Python ideas to the web

Course content

1 section • 12 lectures • 1h 59m total length

  • Introduction3:30

    Build a mobile web app in Python and Flask that dispenses quotes via a natural language sentiment control tailored to the reader's mood.

  • Questions Before Starting Any Project/Software Journey8:31
  • Storyboarding4:32
  • Finding Data - Where to Find Famous Quotes8:28
  • Sentiment Scoring With the NLTK Vader Tool11:31

    Note lecture 6 and 7 share the same Jupyter notebook extract

  • Building the Quote Dispensing Engine - Abstracting With Functions13:26

    Note lecture 6 and 7 share the same Jupyter notebook extract

  • A Few Good Tools to Design a Web Application9:51

    Explore design workflow using google drawing for mockups, brackets for code, and google fonts, while sourcing assets via google search and upwork to prototype a web app.

  • A Flask primer16:55
  • Getting Professional Help - How I Do It With UpWork10:29
  • Building Our Quoting Machine on PythonAnywhere - Part 113:34

    Note: resource file for lecture 11 and 12 are the same

  • Building Our Quoting Machine on PythonAnywhere - Part 213:18

    Note: resource file for lecture 11 and 12 are the same

  • Conclusion5:36

    Showcase a finished Python web app running on mobile with a swipe interface, deployed via PythonAnywhere and DNS for a domain name, and turn ideas into monetizable, feedback-driven products.

Requirements

  • Basic knowledge of Python, HTML, and Jupyter notebooks
  • Ability to install Python libraries as required per course (pip install or however you do it on your OS)

Description

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.

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 own Python ideas to the web into fully interactive web applications so the world can enjoy your work!

Who this course is for:

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

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