What you'll learn:
- Learn how to use Tweepy to interact with Twitter's API
- Learn how to use Redis to setup a local key-value store
- Learn about sentiment analysis
- Learn how to pre-process and format data in Python
- Learn how to display data from Redis via Flask and Jinga2
This video series will walk through building a streaming Twitter filter using Python and Redis.
Here is a synopsis of each video:
Talks about the project and data pipeline
Show how to ingest the Twitter stream
Explain sentiment analysis and how to do it using Python
Explain Redis and show how to setup a local server
Design a pen &paper mockup, then convert to front-end code
Prepare a custom Python class to preprocess and format data fields
Build a simple Flask server to combine all the code so far
Explores further improvements to the pipeline