We all have smartphones these days, and we take them with us everywhere we go. How much could you

infer about a person, their stage in life, their driving style, their work-life balance based on just

a phone's motion and GPS data? With the right mix of analytics and machine learning, it turns out

you can learn a lot about a person. Are they a dog-owning workaholic? Or an early-rising parent of young

children? This week, you'll meet Vincent Spert, who is the chief data scientist at Sentience,

a company building an SDK to answer these exact questions. You'll learn how they're using

Python to make this happen and how they think this data could be used for the greater good. This is Talk PythonMe. Episode 135 recorded October 25th, 2017.

Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.

This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy.

Keep up with the show and listen to past episodes at talk python.fm.

And follow the show on Twitter via at Talk Python.

This episode is brought to you by Datadog and GoCD.

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It really helps support the show.

Vincent, welcome to Talk Python.

Thank you.

It's great to have you here.

You guys have a super cool platform. You're doing some seriously deep learning and AI and machine learning. And I think everyone's going to get a pretty cool look at what you guys are doing and how you're doing it. There's a bunch of cool algorithms going on here. But before we get into all that detail, let's talk about how you got in a programming and Python, things like and python things like that yeah sure cool it started when i was about 14 and i started hacking around with some

some web design remember those days where uh everyone used those marquee banners there was no CSS and

stuff like that the blink tag yeah yeah that was wonderful those were good days exactly so and over

the years i went more into network security and, started a company when I was around 18 and converted more to languages like Java and C++ plus throughout my PhD.

What was the company you started when you were 18?

...