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Home > Talk Python To Me - Python conversations for passionate developers > #90 Data Wrangling with Python


	Podcast:		Talk Python To Me - Python conversations for passionate developers
	Episode:		#90 Data Wrangling with Python
	Category:		Technology
	Duration:		01:01:35
	Publish Date:		2016-12-21 02:00:00
	Description:		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/jellyfish Fuzzywuzzy: github.com/seatgeek/fuzzywuzzy scrubadub: github.com/datascopeanalytics/scrubadub pint: pint.readthedocs.io arrow: github.com/crsmithdev/arrow pdftables.six: github.com/vnaydionov/pdftables Datacleaner: github.com/rhiever/datacleaner Parserator: github.com/datamade/parserator Gensim: radimrehurek.com/gensim Faker: github.com/joke2k/faker Dask: dask.pydata.org SpaCy: spacy.io Airflow: airflow.incubator.apache.org Luigi: luigi.readthedocs.io Hypothesis (testing): hypothesis.works Katharine's courses Data Pipelines with Python shop.oreilly.com/product/0636920055334.do Data Wrangling & Analysis with Python. Learn Pandas shop.oreilly.com/product/0636920051831.do Sponsors Rollbar: rollbar.com/talkpythontome GoCD: go.cd
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