Python, every mention
14 scenes (2016) · ← 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 2016 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
Lessons Learned from Advanced Data Science Orgs // Domino Data Lab [FirstMark's Data Driven]
- ▶ 0:14 Nick (Domino Data Lab) I'll say a little bit more of what I mean by that in a second, but, um, just to help me understand folks in the audience, show hands of people who work with statistical programming languages, Python R, kind of predictive analytics, not,…
- ▶ 9:45 Nick (Domino Data Lab) Um, so, you know, let's say we're, we're working on a project, and we're, we're developing a trading strategy, and I've got some code in R, in Python, um, and I've got my script here, so it's plain Python code, there's sort of nothing… 2 times in the scene
Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
- ▶ 17:24 Jeremy Stanley Uh, the data science teams are using either Python or R, 2 times in the scene
The Uber Big Data Story // Praveen Murugesan, Uber (Data Driven NYC / FirstMark)
- ▶ 5:26 Praveen Murugesan Um, so it was originally written with, like, Python, Celery, and, like, some, like, uh, original technologies which Uber, people at Uber were very familiar with.
EP 373: $1m+ On Green Contracting Company and Tech Executive
- ▶ 10:17 Nathan Latka LAMP, Python, Java.
The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
- ▶ 7:26 Christopher Nguyen There's also support for R, Python, and so on.
- ▶ 7:56 Christopher Nguyen You have BI tools that are exclusively for business users, then you've got R, Python, SAS, and so on, that are exclusively for
Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
- ▶ 2:59 Louis DiModugno So, so what we found is that, quite frankly, we had some data scientists essentially within our midst, and so the actuaries that we had within our organizations, especially some of the younger ones, it was a very nice conversion for them…
- ▶ 10:57 Louis DiModugno Um, and with that, we've got R and Python and Spark.
The Journey to Information for Everyone // Prakash Nanduri, Paxata (Hosted by FirstMark)
- ▶ 7:22 Prakash Nanduri I don't know what is Python.
The Solitude of the Data Team Manager // Florian Douetteau, Dataiku (Hosted by FirstMark)
- ▶ 3:49 Florian Douetteau Meaning, you might want to go into Python, but discover that the statistical team somewhere will do some R, in fact.
- ▶ 21:13 Florian Douetteau I think that today you've got many issues to solve, like at least four or five big issues to solve, but I won't list them all, but, um, one key aspect is just from a technical perspective, maintaining the, the versioning and consistent…
Combining Machine Learning With Expert Human Judgement // Eric Colson, Stitch Fix
- ▶ 15:05 Eric Colson So we're mostly Python based.
A Recipe-Based Approach to Parsing // Hicham Oudghiri, Enigma (Hosted by FirstMark Capital)
- ▶ 18:41 unnamed speaker Based on the, uh, traceback that I saw, I'm assuming that, uh, this stuff transpiles into Python at some point. 3 times in the scene