Vincent D. Warmerdam: Untitled12.ipynb | PyData Eindhoven 2019

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00:00 - Introduction
01:05 - Agenda
01:35 - Introducing a workflow
04:15 - Live demo with bad practices
13:00 - Demo but with better practices
26:30 - Scikit-lego
30:57 - Closing thoughts
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[@Jaimefvs93]

Don’t really know why this video hasn’t got any comments …
I’ve found it randomly and it is one of the best videos I’ve ever seen. Great talk! And really easily explained as on why we should focus on have a clear structure, good defined functions, and a pipeline with clear steps when it comes to create analysis that will go to production or even if it’s just for a test case.
Sadly, on the industry there is always this insane thought that is better to get some code to production that delivers you some results but nobody can maintain later on … not even the person who wrote it, and it’s frustrating. Just because someone wants to put something as quick as possible in production and skip to the next task/business, hours and hours of bug fixing, issues, and headaches are being wasted.
Another great point, that I support 100% is to have this calm while coding/solving a problem. Not a fan at all of the “everything’s on fire” mindset while approaching an issue.
Congrats on this awesome content!

[@134ayush]

Vincent keeps on amazing with his simplistic explanations! Don't know why it took me so long to find this video.

[@won20529jun]

This was enlightening AND enjoyable to watch :D will definitely start using these techniques

[@viniciusqueiroz2713]

I'm amazed I have never heard about pipes in Pandas before today... Thank you for your talk!

[@Cryptothink8]

I'd never known about the contextual helper... 5min in and mind is already blown.

[@dogden95]

This was an awesome talk! Thanks for posting

[@2niemand]

Thank you! Really excited to recode my Untitled12 now!

[@archchin]

Awesome content. Kudos

[@harriswong9041]

Coming from R, I can see myself already doing some of this (by accident?). The bit on decorators is very interesting.

[@karma111]

Very good

[@Dongducamer]

Is the pipeline the equivalent of a fluent interface in pandas/scikit world?

[@washedtoohot]

I am this person who has 100 notebooks