Monday Morning Data Chat

#135 - Dataframe Deep Dive w/ Devin Petersohn

Jul 18, 2023

01:02:09

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Episode notes

Introduction

2min

The Complexity of Data Frames

2min

The Complexity of Data Frames

5min

The Parallel Universe of Data Frames

3min

The Importance of Understanding Data Frame Order

4min

The Advantages of Ordering in Data Frames

6min

Relational Algebra and Transpose Operators

2min

The Controversy of the Transpose and the Same World

2min

The Data Frame Algebra: A More Flexible Way of Interacting With Data

3min

10.

The Best API for Data

3min

11.

How to Make Big Decisions for Your Software Analysis Team

2min

12.

The Evolution of Pandas

2min

13.

The Evolution of Data Frames

2min

14.

Modus In: A Drop in Replacement for Pandas

2min

15.

How to Create Order and Tracking in a Non Ordered Cloud Data Warehouse

2min

16.

How to Avoid Loops in the Data Warehouse

2min

17.

The Importance of Knowing the SDK and API

4min

18.

How to Retrain Users to Use a More Scalable Product

3min

19.

Who Should Be Using SQL and Interfacing With Data Frames?

2min

20.

The Trade-Offs Between Different Approaches

2min

21.

The Importance of Mental Models for Learning Pandas

5min

22.

How to Transpose Machine Learning Data

2min

23.

The Dark Matter of Data

2min

Devin Petersohn (Modin, Ponder) knows a thing or two about dataframes, having done his PhD thesis on them, among other related achievements. We'll talk about all things dataframes, both high level and in the weeds. If you've ever wanted to learn about dataframes, this is the discussion for you.

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