#90: Data Wrangling with Python

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 21 December 2016

⏱️ 62 minutes

🔗️ Recording | iTunes | RSS

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Summary

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.

Transcript

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0:00.0	Do you have a dirty, messy data problem?
0:02.2	Whether you work as a software developer or as a data scientist, you've surely run across
0:06.1	data that is malformed, incomplete, or maybe even wrong.
0:09.7	Don't let messy data wreck your apps or generate wrong results.
0:13.1	What should you do?
0:14.1	Listen to this episode of Talk Python to Me with Catherine Jarmanw about the book she co-authored
0:18.4	called Data Rangling in Python and her Pycon UK presentation entitled
0:22.2	How to Automate Your Data Cleanup with Python. This is Talk Python to Me, recorded November 28, 2016.
0:31.2	I'm a developer, developers, developers, developer in many senses of the word, because I make these applications, but I also use these verbs to make this music.
0:41.3	I constructed line by line, just like when I'm coding another software design.
0:45.9	In both cases, it's about design patterns.
0:49.0	Anyone can get the job done.
0:50.4	It's the execution that matters.
0:51.8	I have many interests.
0:53.7	Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
1:01.5	This is your host, Michael Kennedy.
1:03.1	Follow me on Twitter where I'm at M. Kennedy.
1:05.2	Keep up with the show and listen to past episodes at TalkPython.fm.
1:08.8	And follow the show on Twitter via at talk python.
1:12.1	This episode has been sponsored by Rollbar and GoCD.
1:16.3	Think them both for supporting the podcast by checking out what they're offering during their
1:21.0	segments.
	...

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