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UID:pretalx-packagingcon-2021-9MKDF3@pretalx.com
DTSTART:20211110T182000Z
DTEND:20211110T184000Z
DESCRIPTION:We believe that sharing and reusing data science code is the fu
 ture for scaling machine learning across the world because it allows us to
  work more efficiently. To achieve this grand vision\, we had to look at h
 ow micro-packaging could be done in Python\, the language of choice for mo
 st data scientists. Micro-packaging is a widely debated topic in the npm w
 orld\, and it hasn't taken off in the Python packaging ecosystem.\n\nThis 
 talk will present the journey that brought us to this point\, the challeng
 es we've faced implementing this functionality and the solution we created
  in Kedro\, an open-source Python framework for data science. Whether you'
 re a data practitioner or a software engineer curious to reuse code betwee
 n projects\, you can draw some inspiration from this talk.
DTSTAMP:20260612T231829Z
LOCATION:Room 3
SUMMARY:Micro-packaging reusable data science pipelines in Python - Lorena 
 Balan
URL:https://pretalx.com/packagingcon-2021/talk/9MKDF3/
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