Python for data science

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The Python language combines human-friendly syntax, awesome libraries, and computational chops into one of the most powerful languages in the world today. This webinar provides practical tips for how to leverage Python in your data science projects. Mostly this will be specific code tricks and libraries to use, but will also discuss some more general principles (tradeoffs to make, code architecture, etc). To show you how this plays out "in the wild", Field will also do a walk-through of a complete data science project.

This talk is geared toward people who have a "hello world" familiarity with Python, but who aren't familiar with it's more advanced tools.

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Very useful video. It clarified a bunch of things to me. Thanks!

mariav
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I found the "Tips" section to be especially useful. Thanks.

karlmarka
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Two questions:
1. Is this still relevant in 2019?
2. Is there a 2019 remake?

Tomifella
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Hi Field - Great talk - love it! wondering if you can share those scripts (run.sh, parse_jason.py ... etc), it will be really useful for all of us.

contactdiwa
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Great insight! (at least for beginners like me;)

RaeHu_Hooray
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How can i setup python environment, and install numpy and scipy?

konstantinospapastamos
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too much BS !.. initial 15 minutes a total waste.

anujkumarHero