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:

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

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

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

How long do I have access to the course materials?

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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