The Data Exchange with Ben Lorica

Dataframes at scale

Jun 30, 2022

37:15

Highlights

AI Chapters

Episode notes

Motin and Quarioptimiation Underneath the Hood

01:35

What's the Main Goal of Moden?

01:29

Pandis and Production Aren't the Same

02:34

Introduction

2min

What Is Moden?

3min

What's the Main Goal of Moden?

1min

Is Moden a Fork of Pandas?

2min

Is the Four Loop at Self a Paralyzed Parameter?

2min

Motin and Quarioptimiation Underneath the Hood

2min

What's the Common Usage Patterns for Moden?

2min

What Are Some Use Cases for Moden?

2min

Pandis and Production Aren't the Same

3min

10.

Data Engineers and Data Scientists - Is There an Opportunity?

3min

11.

Is Pandas Here to Stay?

2min

12.

Optimizing for the Interactive Use Case

2min

13.

Data Engineering: What's on the Near Term Road Map?

2min

14.

The Mission of Ponder Is to Bring a Productivity Product to the Data Science Industry

2min

15.

Is There a Difference Between State of Science Platforms and Motin?

3min

16.

Open Source vs Open Source?

2min

17.

Is Modon a Fork of Pandas?

2min

18.

Is There an Ecosystem Now Around Moden?

3min

Devin Petersohn is CTO and co-founder of Ponder, and the creator of Modin, a fast, scalable, drop-in replacement for the popular Pandas library.

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Detailed show notes can be found on The Data Exchange web site