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UdemyBuild a Streaming Twitter Filter with Python and Redis
4.6(240)13k studentsINTERMEDIATEEnglish
Korshub's take
An End-to-End Data Pipeline, Built on Camera
This video series builds a complete streaming Twitter filter from scratch, using Python and Redis. It moves through the full pipeline: ingesting a live Twitter stream, running sentiment analysis on the incoming data, setting up a local Redis server, and sketching a front-end mockup before turning it into real code.
Who It's For
Intermediate Python developers who want to see a real data pipeline assembled piece by piece, rather than working with pre-built boilerplate.
Key Takeaways
- Ingesting and processing a live Twitter data stream in Python
- Running basic sentiment analysis on streamed text
- Setting up and using a local Redis server for the pipeline
- Wiring the pipeline into a simple Flask server
The series also discusses where the project could be extended further, making it a useful starting point for a larger streaming data project of your own.
About this course
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
Price
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