- Introduction
- Twitter Stream
- Design & Front-end Development
- Sentiment Analysis
- Redis Server
- Data Formatting
- Flask Server
- Next Steps
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
Description
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
About the instructors
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Ty Shaikh
Curriculum Engineer at K2 Data Science
I am a Curriculum Engineer at K2 Data Science. I build instructional material and example projects for the data science course. I'm currently working with data engineering professionals to build a course teaching distributed processing and computing.
Previously, I worked as a data science and software engineering consultant. I started my career in distressed private equity.
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