Python, every mention
33 scenes (2021) · ← back to Python
tap a year for its mentions
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 2021 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
Trunk.io Helps you Code Like Google, $3.2m Raised, Official Launch Now
- ▶ 4:35 Ellie Schleifer They have their core languages and they have a bunch of supporting bash scripts and Python scripts.
FTX with Sam Bankman-Fried & Mario Gabriele (Extended Cut) · Acquired
- ▶ 5:08 unnamed speaker I've spent basically my entire adult life quite rooted in the Python community, and that served us well for bringing together a great team with that expertise in that ecosystem.
Luke Ellis – The Man Behind The Man Group (Capital Allocators, EP.214)
- ▶ 42:00 Luke Ellis I think the last number is more than half of the firm has an active Python license. 2 times in the scene
12 Startups Where Stock Grants Can Make You a Millionaire | My First Million #220
- ▶ 23:01 Shaan Puri I'm gonna learn Python. 2 times in the scene
Husband Wife Team Taking on Drizzly, Hit $1.5m Run Rate, Ecomm for Alcohol
Episode 563 | The Struggle, Calls to Action, Selling Above $1M ARR, and More Listener Questions
- ▶ 18:27 Rob Walling Hey Rob, I recently launched a niche info product, a book on learning Python and data science with baseball stats. 2 times in the scene
Why You Need a Chief Automation Officer | My First Million #208 with Steph Smith
- ▶ 42:11 Steph Smith So it's just like a Python automation course, because I believe in this idea of like automating every possible thing in your life that you don't need to be the one doing.
Episode 556 | Rails Autoscale
- ▶ 11:34 Adam McCrea Can I use this with Python?
Fireside Chat: Abe Gong (Founder & CEO, Superconductive) with Matt Turck (Partner, FirstMark)
- ▶ 14:21 Abe Gong It's JSONs, Python APIs,
- ▶ 17:05 Abe Gong Uh, the primary backends that Great Expectations runs on are Python pandas.
- ▶ 22:22 Abe Gong And there are a bunch of things that, uh, you can do once you have all the power of, you know, SAS at your disposal, and it's not just a Python library, uh, that, that will lend themselves to much better data collaboration.
Fireside Chat: Nick Schrock (Founder & CEO, Elementl) with Matt Turck (Partner, FirstMark)
- ▶ 12:08 Nick Schrock So Dexter works is an open source Python project.
Deep Fake Tech Pivoted from $0 Last Year, $24m Raised, CEO teases new round
Balaji on How to Fix the Media, Cloud Communities & Crypto | MFM #178
- ▶ 14:21 Balaji Srinivasan For example, you complete five Python problems and you get a badge that says I've completed five Python problems and, uh, you complete, you know, 10 questions on
Fireside Chat: Florian Douetteau (Founder & CEO, Dataiku) with Matt Turck (Partner, FirstMark)
- ▶ 11:33 Florian Douetteau Meaning people doing Python or R on an everyday basis.
Episode 545 | The Value of Learning 80/20 Design Fundamentals
- ▶ 4:53 Tracy Osborn Django and Python, and those things are changing so, so fast that, um, a publisher wouldn't want to upkeep that.
The State of the Cloud: 2021 with Bessemer Venture Partners | SaaStr Software Community
- ▶ 45:40 Mary D'Onofrio And whether it's Firebolt and data warehousing coiled in Python based data analytics or imply data in real time analytics, the opportunities are endless.
Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
- ▶ 9:04 Savin Goyal So, you know, Metaflow ultimately at the end of the day, it's a Python package, uh, as well as an R package, because, uh, the users that we have internally, uh, they use either Python or R to get their work done. 2 times in the scene
- ▶ 24:18 Savin Goyal Uh, we have essentially focused on Python and R.
Introducing Kedro
- ▶ 8:06 Kedro Product Manager Um, we've got a Python virtual environment set up. 3 times in the scene
- ▶ 14:13 Kedro Product Manager So a node in Kedra world is just a Python function.
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 0:22 Wes McKinney So pandas serve sort of as a, as a Swiss army knife for, for data access, data, data manipulation, analytics, and data visualization in Python. 4 times in the scene
- ▶ 2:50 Wes McKinney So it, people use it for, uh, not only loading the data into Python, but also the data cleaning, the, you know, what we call data preparation.
- ▶ 4:25 Wes McKinney Um, so it's, it's, you know, tends to be interactive, uh, very flexible, uh, and enables you to, to work with, uh, you know, datasets from a general purpose programming language like Python. 2 times in the scene
- ▶ 5:08 Matt Turck And all of this is, is in the context of the, of the Python world. 7 times in the scene
- ▶ 9:10 Wes McKinney So, uh, you know, I was interested in this problem and I'd experienced it from the perspective of pandas and the Python ecosystem, like wanting to build bridges from Python into all of these other, all of these other systems. 2 times in the scene
- ▶ 10:43 Matt Turck And that's Python. 2 times in the scene
- ▶ 13:58 Wes McKinney So traditionally data comes into your, uh, into your Python interpreter, into your, into your R interpreter, your process, and you immediately have to convert it into, um, into some other, into some other format.
- ▶ 16:46 Wes McKinney They have one thing to think about and we can, on the Python side, we can deal with like, okay, you know, I know how to optimize getting data into pandas so we can maintain that for them and their developers don't have to solve that…
- ▶ 18:12 Wes McKinney They said, you know, make Python work better with, with all of this big data.
- ▶ 21:50 Wes McKinney Spark, uh, Spark supports Arrow as a, as an interchange format, and it's used heavily in the interface with Python and R, for example. 2 times in the scene
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 7:24 Alok Gupta We use Python and Databricks to, uh, and Spark to pull data in, build models. 2 times in the scene