Python, every mention

9 scenes (2014) · ← back to Python

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Verbatim, from the transcripts: the passages where Python comes up

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Michael Rubenstein and Catherine Williams, App Nexus // Data Driven #31 // Nov 2014 Nov 20, 2014 · 1 mention

  • ▶ 7:15 Catherine Williams In terms of tools at that time, um, maybe because our data was a little bit rigid, we used a lot of Bayesian math, Bayesian probability, um, we still had a little bit of a business intelligence focus at that time, so Excel was still in…

Mike Abbott, KPCB // Data Driven #30 // Oct 2014 (Hosted by FirstMark Capital) Oct 16, 2014 · 1 mention

  • ▶ 5:16 Mike Abbott And, uh, you know, I, I actually still write software, um, and recently, because I'm meeting all these companies, I want to look at, like, you know, what, if I use Pandas, which, thank you for contributing, that's a great, great tool on…

Tobi Knaup, Mesosphere // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital) Sep 22, 2014 · 2 mentions

  • ▶ 5:18 Tobi Knaup So it gives you, ah, an SDK for building distributed systems, and you can build those in Java, Python, C++, Go, ah, there's actually more language bindings now.
  • ▶ 9:41 Tobi Knaup In, in Python that runs on, on Mesos.

Panel Discussion // Data Driven #27 // May 2014 (Hosted by FirstMark Capital) May 29, 2014 · 3 mentions

  • ▶ 17:06 unnamed speaker Uh, so at OnDeck, uh, we primarily use R and Python to build our credit models and marketing models. 3 times in the scene

Stephen Purpura, Context Relevant // Data Driven #26 // April 2014 (Hosted by FirstMark Capital) May 27, 2014 · 2 mentions

Jake Klamka, Insight Data Science // Data Driven #25 (Hosted by FirstMark Capital) Mar 20, 2014 · 3 mentions

  • ▶ 13:52 Jake Klamka Scientists are often coming with, like, MATLAB experience, for instance, and they've never used something like Python or R, for instance. 3 times in the scene

Vijay Subramanian, Rent the Runway // Data Driven NYC 23 // January 2014 Mar 3, 2014 · 1 mention

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