Python, every mention
8 scenes (2022, on the MAD Podcast) · ← 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 2022 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
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 14:41 Matt Housley Or, yeah, yeah, data engineers really need to know Spark, or they need to know Python, or they need to know Pandas, or Snowflake, or whatever technology it is.
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 4:14 Viraj Parekh To where we are now, where we have folks like Steve State Startups, all the way through larger retailers that encode their business logic in Python with these Airflow DAGs.
- ▶ 4:25 Viraj Parekh And, you know, Airflow was designed for this kind of Python-based job scheduling, but if we think about the personas we went through before, that's really only the first step, and orchestration's a little more than that, or a lot more than… 2 times in the scene
- ▶ 7:26 Pete DeJoy And, you know, there, there definitely is a theme there in that, you know, Airflow kind of emerged as this really incredible, we think the best in the world tool for Python
- ▶ 18:12 Pete DeJoy So I can see both my tasks, i.e. those SQL queries and Python functions I just ran, predict user trends, and I can introspect the tables that they're actually producing in my snowflake instance under the hood.
- ▶ 22:52 Pete DeJoy So, I mean, we have a Python, or excuse me, like a CLI client that allows you to just run those deployments.
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 15:58 Gleb Mezhanskiy We can also run it in Python.
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 21:49 Tristan Handy It's executing on Snowflake, or this is a Python-based data transformation.