Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Introduction
00:00 • 2min
The Complexity of Data Frames
02:27 • 2min
The Complexity of Data Frames
04:29 • 5min
The Parallel Universe of Data Frames
09:40 • 3min
The Importance of Understanding Data Frame Order
12:17 • 4min
The Advantages of Ordering in Data Frames
16:20 • 6min
Relational Algebra and Transpose Operators
21:55 • 2min
The Controversy of the Transpose and the Same World
23:35 • 2min
The Data Frame Algebra: A More Flexible Way of Interacting With Data
25:07 • 3min
The Best API for Data
27:38 • 3min
How to Make Big Decisions for Your Software Analysis Team
30:43 • 2min
The Evolution of Pandas
32:37 • 2min
The Evolution of Data Frames
34:58 • 2min
Modus In: A Drop in Replacement for Pandas
36:43 • 2min
How to Create Order and Tracking in a Non Ordered Cloud Data Warehouse
38:42 • 2min
How to Avoid Loops in the Data Warehouse
40:59 • 2min
The Importance of Knowing the SDK and API
42:32 • 4min
How to Retrain Users to Use a More Scalable Product
46:31 • 3min
Who Should Be Using SQL and Interfacing With Data Frames?
49:58 • 2min
The Trade-Offs Between Different Approaches
52:14 • 2min
The Importance of Mental Models for Learning Pandas
54:04 • 5min
How to Transpose Machine Learning Data
58:43 • 2min
The Dark Matter of Data
01:00:29 • 2min