629: Software for Efficient Data Science

1

Introduction

00:00 • 4min

2

Learning Machine Learning From Real World Data

04:15 • 2min

3

Are There Any Challenges for Data Preparation?

06:06 • 3min

4

Data Science Developer Advocate at JetBrains

08:45 • 3min

5

Data Law and Data Spell Are Data Science Tools at JetBrains

11:59 • 5min

6

Data Lore - A New Direction for JetBrains

17:09 • 3min

7

The Power of Data Law Is Out the Gate

19:45 • 2min

8

Jupyter Notebook - Data Exploration and Reproducibility

21:17 • 3min

9

Data Law - I Love Pandas, Don't Get Me Wrong.

24:28 • 2min

10

Google Colab Isn't Awesome for Teaching

26:14 • 2min

11

Dada Law Collaboration - What's Really Nice About It?

28:20 • 2min

12

The Super Data Science Podcast - What Do You Think?

30:24 • 4min

13

Data Lore

34:12 • 3min

14

Data Science Developer Advocate - What's That?

37:25 • 2min

15

Developer Advocacy

39:24 • 3min

16

What Would You Change About Your PhD?

42:49 • 3min

17

The Hitchhiker's Guide to GG Plot 2

45:25 • 2min

18

The Tidy Verse and the Ability to Pipe in Python

47:41 • 3min

19

Python

50:21 • 2min

20

How to Create Cool Podcast Experiences With in-Person Interactions

52:10 • 3min

21

The Hitchhiker's Guide to GG Plot 2

54:47 • 2min

22

GG Plot 9

56:32 • 2min

23

The Transformers Package From Hugging Face

58:39 • 2min

24

Reproducibility in Data Science

01:01:02 • 4min

25

The Five Tenets of Reproducibility

01:05:22 • 2min

26

The Super Data Science Podcast - A Great Podcast, Jody

01:07:22 • 4min