- Twitter Stream
- Design & Front-end Development
- Sentiment Analysis
- Redis Server
- Data Formatting
- Flask Server
- Next Steps
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
Most simplified standard costing and budgeting.
About the instructors
- 4.47 Calificación
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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.
To the point. Please improve the audio quality.
Nice explanation on how to read a stream of tweets.
Ty has a thorough and on task teaching style that embeds you into his thought process, sees the business requirements, the background considerations (sentiment analysis, styles of mocking up user interfaces) and has a simple workflow and data pipeline that he nails with all the technical detail you want. By the end, you will be glad to took the time, probably start filtering your top 10 favorite words for tweets and learn a lot in the process of using the Twitter API. Great baseline to start.
Pretty good course, ain't gonna lie really digging the ASMR voice bro.