Python, every mention
8 scenes (2015) · ← back to Python
Latent Space 324
the MAD Podcast 232
the a16z Podcast 67
the Startup Ideas Podcast 42
the Y Combinator Startup Podcast 41
No Priors 41
TBPN 40
Top Founders 3828 more shows
every year 2015 every show Latent Space 324 the MAD Podcast 232 the a16z Podcast 67 the Startup Ideas Podcast 42 the Y Combinator Startup Podcast 41 No Priors 41 TBPN 40 Top Founders 38 
Lenny's Podcast 37 
20VC 33 
Startups For the Rest of Us 19 
My First Million 17 
the Neon Show 17 
Big Technology 14 
In Depth 13 
WTF is with Nikhil Kamath 10 
A Product Market Fit Show 10 
Capital Allocators 10 
Acquired 8 
the Official SaaStr Podcast 8 
Sourcery 8 
the Knowledge Project 7 
Cheeky Pint 6 
Catalyst 6 
Mixergy 5 
the Green Blueprint 5 
All-In 5 
BG2 Pod 3 
American Optimist 3 
Invest Like the Best 3 
How I Built This 3 
Founder's Journal 2 
Startup Acquisition Stories 2 
We Live to Build 2 
Innovators & Investors 1 
David Senra 1
Verbatim, from the transcripts: passages where Python comes up on Latent Space, the MAD Podcast, the a16z Podcast, the Startup Ideas Podcast, the Y Combinator Startup Podcast
Black Boxes and Unicorns - DataRobot CEO Jeremy Achin
- ▶ 0:59 Jeremy Achin I like tools like R, Python, long walks on the beach.
- ▶ 18:30 Jeremy Achin Um, so we'll, we'll compete algorithms from R, from Python, from H-to-O, Spark, um, and just kind of compete them all against each other and see what works best for yours, right?
Machine Learning in Production with Josh Bloom, Co-founder Wise.io
- ▶ 5:14 Josh Bloom So we try to abstract away all that other stuff that you saw on the previous slide and allow a data scientist to essentially work in the kind of environment that he or she wants, typically in Python,
20 VC 085: Mark Suster @ Upfront Ventures on Being A Super Entrepreneur Driven VC
- ▶ 3:59 Mark Suster Python.
Richard Socher, MetaMind // Deep Learning for Enterprise (Hosted by FirstMark Capital)
- ▶ 3:12 Richard Socher And you can very easily use it with three lines of Python code right here.
- ▶ 5:48 Richard Socher And we can test it, ah, both via an API, so just three lines of Python code, or we can drag and drop also and see if it actually works.
Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
- ▶ 1:15 Chris Wiggins So the next time you go to the New York Times, go look in the lobby, he wrote the Python that makes that lobby art go.
- ▶ 18:07 Chris Wiggins We use a lot of Python and scikit-learn. 2 times in the scene