Build a Streaming Twitter Filter with Python and Redis

Build a Streaming Twitter Filter with Python and Redis

Learn how to use Twitter’s Streaming API, Redis and Flask together.

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
Requirements
  • Understanding of Python and web development

Talks about the project and data pipeline

Show how to ingest the Twitter stream

Design a pen & paper mockup, then convert to front-end code

Explain sentiment analysis and how to do it using Python

Explain Redis and show how to setup a local server

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

Description

This video series will walk through building a streaming Twitter filter using Python and Redis. 

Here is a synopsis of each video:

  1. Talks about the project and data pipeline

  2. Show how to ingest the Twitter stream

  3. Explain sentiment analysis and how to do it using Python

  4. Explain Redis and show how to setup a local server

  5. Design a pen & paper mockup, then convert to front-end code

  6. Prepare a custom Python class to preprocess and format data fields

  7. Build a simple Flask server to combine all the code so far

  8. Explores further improvements to the pipeline

Who this course is for:
  • Intermediate programmers who are interested in data engineering

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