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  • 2 years ago
#90 Data Wrangling with Python

#90 Data Wrangling with Python

Do you have a dirty, messy data problem? Whether you work as a software developer or as a data scientist, you've surely run across data that was malformed, incomplete, or maybe even wrong. Don't let messy data wreck your apps or generate wrong results.

What should you do? Listen to this episode of Talk Python To Me with Katharine Jarmul about the book she co-authored called Data Wrangling with Python and her PyCon UK presentation entitled How to Automate your Data Cleanup with Python.

Links from the show:

Katharine on the web: kjamistan.com

Katharine on twitter: @kjam

Book: Data Wrangling with Python: Tips and Tools to Make Your Life Easier: amzn.to/2fGc0Cx

Pycon 2016: How to Automate your Data Cleanup with Python: youtube.com/watch?v=gp-ngPV_ZX8

Packages from Data Cleanup talk

Dedupe Python Library: github.com/datamade/dedupe

probablepeople: github.com/datamade/probablepeople

usaddress: github.com/datamade/usaddress

jellyfish: github.com/jamesturk/j

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