Share the joy of famous quotes with a cloud-based web app using natural language processing to hit the right mood!
- Free tutorial
- Rating: 4.3 out of 54.3 (277 ratings)
- 22,707 students
- 2hr of on-demand video
- Created by Manuel Amunategui
- English
What you’ll learn
- Easily create web applications using Python and Flask
- Quickly port your Python ideas to the web
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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Course content
1 section • 12 lectures • 1h 59m total length
Introduction12 lectures • 2hr
- Introduction03:30
- Questions Before Starting Any Project/Software Journey08:31
- Storyboarding04:32
- Finding Data – Where to Find Famous Quotes08:28
- Sentiment Scoring With the NLTK Vader Tool11:31
- Building the Quote Dispensing Engine – Abstracting With Functions13:26
- A Few Good Tools to Design a Web Application09:51
- A Flask primer16:55
- Getting Professional Help – How I Do It With UpWork10:29
- Building Our Quoting Machine on PythonAnywhere – Part 113:34
- Building Our Quoting Machine on PythonAnywhere – Part 213:18
- Conclusion05:36
