Build a Streaming Twitter Filter with Python and Redis
Build a Streaming Twitter Filter with Python and Redis, available at Free, has an average rating of 4.45, with 8 lectures, based on 234 reviews, and has 13088 subscribers.
You will learn about 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 course is ideal for individuals who are Intermediate programmers who are interested in data engineering It is particularly useful for Intermediate programmers who are interested in data engineering.
Enroll now: Build a Streaming Twitter Filter with Python and Redis
Summary
Title: Build a Streaming Twitter Filter with Python and Redis
Price: Free
Average Rating: 4.45
Number of Lectures: 8
Number of Published Lectures: 8
Number of Curriculum Items: 8
Number of Published Curriculum Objects: 8
Original Price: Free
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Intermediate programmers who are interested in data engineering
Target Audiences
- Intermediate programmers who are interested in data engineering
This video series will walk through building a streaming Twitter filter using Python and Redis.
Here is a synopsis of each video:
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Talks about the project and data pipeline
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Show how to ingest the Twitter stream
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Explain sentiment analysis and how to do it using Python
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Explain Redis and show how to setup a local server
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Design a pen & paper mockup, then convert to front-end code
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Prepare a custom Python class to preprocess and format data fields
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Build a simple Flask server to combine all the code so far
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Explores further improvements to the pipeline
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Twitter Stream
Lecture 3: Design & Front-end Development
Lecture 4: Sentiment Analysis
Lecture 5: Redis Server
Lecture 6: Data Formatting
Lecture 7: Flask Server
Lecture 8: Next Steps
Instructors
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Ty Shaikh
Curriculum Engineer at K2 Data Science
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 6 votes
- 3 stars: 16 votes
- 4 stars: 83 votes
- 5 stars: 124 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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