Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Introduction
00:00 • 2min
What Is Moden?
01:46 • 3min
What's the Main Goal of Moden?
04:23 • 1min
Is Moden a Fork of Pandas?
05:53 • 2min
Is the Four Loop at Self a Paralyzed Parameter?
08:20 • 2min
Motin and Quarioptimiation Underneath the Hood
09:59 • 2min
What's the Common Usage Patterns for Moden?
11:34 • 2min
What Are Some Use Cases for Moden?
13:06 • 2min
Pandis and Production Aren't the Same
14:49 • 3min
Data Engineers and Data Scientists - Is There an Opportunity?
17:23 • 3min
Is Pandas Here to Stay?
19:56 • 2min
Optimizing for the Interactive Use Case
22:06 • 2min
Data Engineering: What's on the Near Term Road Map?
24:05 • 2min
The Mission of Ponder Is to Bring a Productivity Product to the Data Science Industry
26:01 • 2min
Is There a Difference Between State of Science Platforms and Motin?
27:38 • 3min
Open Source vs Open Source?
30:18 • 2min
Is Modon a Fork of Pandas?
32:19 • 2min
Is There an Ecosystem Now Around Moden?
34:26 • 3min