Python, every mention
8 scenes (on Sourcery) · ← 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 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 
the Official SaaStr Podcast 8 
Sourcery 8 
Acquired 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
Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
- ▶ 21:11 Jonathan Siddharth In the case of coding, uh, a contractor might create a question like, uh, hey, uh, help me, um, give me some Python code, uh, to train a text classifier to detect X posts into positive sentiment, neutral sentiment, negative sentiment.
Carta CEO Henry Ward on Raising $1B, Path to ~$500M ARR, & the Move into PE · Sourcery with Molly O'Shea
- ▶ 26:46 Henry Ward Like, it's like being, being an engineer, but instead of programming using Python, you're programming using the English language, but most people aren't trained programmers.
Sequoia Leads $75M Series B Into Nominal | Alfred Lin Joins Board · Sourcery with Molly O'Shea
- ▶ 8:53 Cameron McCord Things like win plot people know, but a lot of MATLAB has used Python analysis, Python scripts, some of the national instruments, you know, tools, things like that to do modern test engineering.
- ▶ 45:30 unnamed speaker Like we have very sophisticated, very technical users that, um, are proficient in Python and can build a lot of this like last mile, uh, work themselves.
- ▶ 54:30 Cameron McCord You know, a mode where I think just given this sort of some of the software tools that were available to them, they were, you know, using a lot of, um, you know, Python scripts and MATLAB and then sort of bridging into this world where you…
Former Chief Scientist at Salesforce, Richard Socher | You.com, LLMs, AI Agents, Complex Work · Sourcery with Molly O'Shea
- ▶ 10:34 Richard Socher And in this case, genius mode was basically one of our agents that can decide when to search, when to follow up additional deeper searches on the web for you, when to program, when to actually run that code, which is non-trivial, like for…
- ▶ 43:16 Richard Socher I can just drag and drop images and text documents into browser, train a neural net and apply it, uh, in your company with three lines of Python code.
John Coogan, EIR at Founders Fund, Founder of Soylent & Lucy · Sourcery with Molly O'Shea
- ▶ 6:44 John Coogan And he, he wrote a blog post about, uh, how to use like this graph tool to visualize like nodes in a graph, like a social graph, but using R Kelly as like the, as like the, the, the date, the raw data that you would run this, uh, this…