Python, every mention
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tap a year for its mentions
every year anyone Peter Wang 20Wes McKinney 14Matt Turck 9Jeremy Howard 8Gilad Lotan 6Florian Douetteau 6Solmaz Shahalizadeh 5Jordan Tigani 5Chris Wiggins 5Ben Rogojan (Seattle Data Guy) 5
Verbatim, from the transcripts: the passages where Python comes up
The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
- ▶ 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
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,
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
Michael Rubenstein and Catherine Williams, App Nexus // Data Driven #31 // Nov 2014
- ▶ 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)
- ▶ 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)
- ▶ 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)
- ▶ 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)
- ▶ 5:18 Stephen Purpura That's Python for those of you who are interested.
- ▶ 7:06 Stephen Purpura The first line in the script imports our libraries into Python.
Jake Klamka, Insight Data Science // Data Driven #25 (Hosted by FirstMark Capital)
- ▶ 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
- ▶ 17:56 Vijay Subramanian We use tons of Python scripts for parsing the reviews.
Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013
- ▶ 4:48 Gilad Lotan Let's, ah, look at this dataset that I, ah, captured, which, which, ah, consists of two full days of Twitter data where I looked at all users who have the word Python in their description, in their bio. 3 times in the scene
- ▶ 18:03 Gilad Lotan Uh, I think I, I live in just Python. 3 times in the scene
Panel discussion // Data Driven NYC #12 // Jan 2013
- ▶ 33:34 Zainab (Zeneb) trying to convince everyone in, in the world to use, uh, Pandas for Python, it's great.
Panel discussion // Data Driven NYC #13 // Dec 2012
- ▶ 21:08 Eric (MemSQL) The Python manual and, and doing it sort of, uh, by hand.
Panel discussion // Data Driven NYC #9 // Nov 2012
- ▶ 11:54 Hjalmar Gislason (Halmar) It, it's fairly typical for kind of, for web, web applications when, you know, apart from that, so backend written in Python, all the kind of, all the, ah, all the data connectors and everything on the server side, Django, and then heavy… 4 times in the scene
Panel: Continuuity, Sailthru and Visual Revenue // Data Driven NYC #7 // June 2012
- ▶ 8:18 Todd Papaioannou The data scientist is kind of like hybrid role of maybe a business analyst who knows how to program and is interested in data, or a programmer who knows something about data and can program, and I actually think that as an industry we need…
- ▶ 23:02 Joe Eisenberg I mean, your, your expertise in R and Python?
- ▶ 41:16 Todd Papaioannou And I, I think it's going to take us, like I said, five to seven years until we get to the point where you don't have to be a programmer who understands Python or R or, you know, pick your favorite, you know, language.
Kirill Sheynkman, RTP Ventures // Data Driven #3 // Feb 2012 (Interviewed by Matt Turck)
- ▶ 4:56 Kirill Sheynkman It's, it's, it's pretty, ah, hairy stuff, but it's, it's a system that has APIs in Scala and in Java, and they're working on JavaScript and, and Python, where you can take a function and basically the MapReduce becomes three lines of code.
Hilary Mason, Bitly // Data Driven NYC #3 // Feb 2012
- ▶ 21:00 Hilary Mason The rest is in Python.
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