337: Hadley Wickham Talks Integration and Future of R and Python

1

Introduction

00:00 • 4min

2

You're in America, Ame?

03:43 • 2min

3

Av, I'm Kind of Tick New Zealand Slash Dixon Now.

05:24 • 2min

4

Gigi Plateo, Deplir, and Tidy Verse

07:21 • 3min

5

Is It a Programming Challenge?

10:12 • 2min

6

Is the Quantum of Data Really Bigger Than Sequal?

12:10 • 2min

7

Python vs Python - Data Science

14:13 • 4min

8

How Often Do You Use Python Yourself?

18:33 • 1min

9

Python and Ar - What's the Purpose of Teaming Up?

20:02 • 2min

10

Ao, How's It Going So Far?

21:39 • 2min

11

Victorized Functions for Data Science?

23:18 • 2min

12

Is It a Major Roadblock in This Project That You're Undertaking?

25:01 • 2min

13

Python and Data Science

27:18 • 2min

14

How Hard Do You Think You'll Achieve That?

29:42 • 2min

15

How to Scale Your Impact?

31:51 • 2min

16

The Future of Programming Languages

33:34 • 2min

17

Learning Programming

35:34 • 2min

18

Aque From Morgan Mendis, an Advanced Dere Sentis

37:25 • 2min

19

Is There a Secret to Data Science?

39:02 • 3min

20

Are You a Data Scientist?

41:41 • 3min

21

Code as a Medium of Communication

44:44 • 2min

22

Is There an Art to Code in R?

46:16 • 2min

23

The Advantages of Writing Production in R Instead of Paten

48:13 • 2min

24

The Usar Conference vs Usar?

49:47 • 3min

25

Data Scientists Give Back to the Community

52:20 • 2min

26

How Do You Reach Out to Data Scientists?

53:59 • 4min

27

Jgypotto Sonos - What Are Your Thoughts?

57:51 • 2min

28

How Do You Train a Data Scientist?

59:44 • 4min

29

How to Build a Portfolio and Get a Job

01:03:31 • 3min

30

The Key to Teaching Programming to a Wider Audience

01:06:24 • 2min

31

The Most Challenged Aspect of Learning Data Science?

01:08:14 • 2min

32

Data Science and Machine Learning - What's the One Thing You're Most Excited For?

01:09:49 • 2min

33

A. Thank You So Much for Being Part of the Show

01:11:44 • 2min