Friday 11:30 AM–12:10 PM in Room 1
You Belong with Me: Scraping Taylor Swift Lyrics with Python and Celery
Rebecca Conley, Mark Lavin
- Audience level:
- Novice
Description
This talk will demonstrate an example application of using Celery to extract all of the lyrics of the inspiring and influential Taylor Swift from the Internet. Using a light-hearted approach and practical Python examples, we aim to teach people the basics of using Celery for data extraction.
Abstract
Celery is an open source, Python-based, asynchronous task framework which is well-suited for extracting data from webpages, APIs, and text files. With its power comes a bit of a learning curve. This talk covers some of the first questions a new Celery user might have. It will also point out some common pitfalls for beginning users.
Outline:
- What is Celery?
* Project Goals
* Project History
* Major Features
- Initial Setup
* Message broker
* Result storage
* First tasks
- Running Celery
- Webscraping Example
- Common Pitfalls
Sponsors
