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Making Sense of 100 Years of NYC Opera with Python
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pygotham_2016
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Marks
Author(s):
Suby Raman
Location
Room CR6
Date
jul Sun 17
Days Raw Files
Start
10:30
First Raw Start
09:24
Duration
00:25:00
Offset
1:05:45
End
10:55
Last Raw End
10:24
Chapters
00:00
0:13:57
Total cuts_time
26 min.
https://2016.pygotham.org/talks/281/making-sense-of-100-years-of-nyc-opera-with-python
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Description:
In late 2014, I discovered that the Metropolitan Opera of New York was maintaining a database of their performances, stretching back over a hundred years. As a classical composer and Python fanatic, I immediately sensed that there were potentially amazing stories hidden in this data. Using asyncio, SQLAlchemy, and BeautifulSoup, I got to work making sense of the database, and eventually posted some surprising findings. The article caught fire in the classical music world, receiving mentions in mainstream outlets like the Washington Post and New Yorker. In this talk I will discuss my technical approach to handling the data. I will also discuss the social importance of Python as a basic research tool, and I’ll make the case for teaching Pythonesque programming to artists like myself.
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